{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "12646373-c2df-451e-9d36-57ab3508536e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import networkx as nx\n",
    "import pandas as pd\n",
    "from IPython.display import clear_output\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.sparse as sprs\n",
    "\n",
    "from FBSM_library import RKM_Dyn_System\n",
    "from Support_library import Define_Arguments\n",
    "from ABM_library import ABM_Dyn_System\n",
    "\n",
    "from Transition_Matrices_Bank import P_stubborn_3\n",
    "from Transition_Matrices_Bank import P_ass_strict_3, P_ass_smooth_3, P_ass_smooth_5, P_ass_two_clusters_3, P_ass_strict_confidence_3\n",
    "from Transition_Matrices_Bank import P_BC_strict_confidence_5, P_BC_strict_5, P_BC_smooth_confidence_5\n",
    "from Transition_Matrices_Bank import P_empirics_3, P_empirics_5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c07bfea-8125-46ec-909b-f26b8373b95c",
   "metadata": {},
   "source": [
    "# We first check how our algorithm solves the Cauchy problem (3), (4) (Main Manuscript) numerically and compare its output against simulations with the Advanced Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "910b87ca-25ec-46f2-b965-7c1cb748a0cb",
   "metadata": {},
   "source": [
    "## M = 1, m = 3 - strict assimilative mechanisms"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0bcf364-4049-4ef1-a954-b177c1f2feb8",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "5f51785c-7a53-44e8-8a19-8fb09827ef18",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 1  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 0.6  # the fraction of ordinary agents in the system  \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_ass_strict_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_ass_strict_3\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 100\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "v = np.array([2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([[0.6], \n",
    "                [0], \n",
    "                [0]])\n",
    "\n",
    "\n",
    "n_types = [0.6]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Set the control function\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0.4]])\n",
    "\n",
    "u_t = []\n",
    "\n",
    "for i in range(len(Grid)-1):\n",
    "    \n",
    "    u_t.append(u_basic) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f3c37ce-b6dc-4f87-bc61-6aaf36cd2cb6",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "d45a4122-d116-4ac1-bffb-ff1868c0cbeb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 99001 of 100000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 1000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*2000), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9b0116d-3fc5-4308-b846-e6f568b08e9f",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "930d01c7-32d9-4a5e-ab46-a3f9975b6699",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['darkorange', 'darkgray', 'royalblue']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "             alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "            )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 101])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b72b43ee-aa4b-4795-b246-f549c2fe325e",
   "metadata": {},
   "source": [
    "### Try a different transition matrix (smooth assimilative influence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "9d9d27bb-daf8-422e-86a3-62e35f7b0544",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_ass_strict_confidence_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_ass_smooth_3\n",
    "    \n",
    "Arguments['Transition_Matrices'] = Transition_Matrices"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8858e04-96dc-4a43-a26f-053c3f521017",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "c7732fe9-4096-46a7-a416-a2f0f49c1029",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 99001 of 100000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 1000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*2000), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13cc66c1-79a8-4f90-922b-044e89b6d2f2",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "8f252558-e01b-471d-a6fe-5f6d1fcf7a9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['darkorange', 'darkgray', 'royalblue']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "             alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "            )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 101])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ee7b886-a274-48d2-9646-1744d7f45735",
   "metadata": {},
   "source": [
    "## m = 3, M = 2 - assimilative influence (+ two types that display different opinion dynamics patterns) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f75782d-ff43-4b5a-ad6a-911e3cbfb3f6",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "97b42ac8-2eb9-495b-96d4-b388532a36a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 2  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 0.6  # the fraction of ordinary agents in the system  \n",
    "\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# Initialize the first transition matrix\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "Transition_Matrices['0-0'] = P_ass_strict_3\n",
    "Transition_Matrices['0-1'] = P_stubborn_3\n",
    "Transition_Matrices['1-0'] = P_stubborn_3  \n",
    "Transition_Matrices['1-1'] = P_ass_strict_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "Transition_Matrices['0-2'] = P_ass_strict_confidence_3\n",
    "Transition_Matrices['1-2'] = P_ass_strict_confidence_3    \n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 40\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "\n",
    "K = 1\n",
    "\n",
    "w = K*np.array([2, 1, 0])  # the opinion weights (integral)\n",
    "v = np.array([2, 1, 0])  # the opinion weights (terminal)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "y_0 = np.array([[0.05,  0.3], \n",
    "                [0.2,   0], \n",
    "                [0.05,  0]])\n",
    "\n",
    "n_types = [0.3, 0.3]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Set the control function\n",
    "\n",
    "u_basic = np.array([[0,    0], \n",
    "                    [0.1,  0], \n",
    "                    [0,    0.3]])\n",
    "\n",
    "u_t = []\n",
    "\n",
    "for tau in Grid:\n",
    "    \n",
    "    u_t.append(u_basic) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9408c584-20c5-4a8b-99a4-cd30877c6aa5",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8282654-9e88-4368-b1df-f2b597040a43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 140001 of 200000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 5000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*2000), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "087d4600-1478-46cd-a547-f496f9c9edf3",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "078c00ea-9e23-4168-a815-bebdae415659",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].reshape(m*M, ) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(13, 5))\n",
    "Colors = ['red', 'darkorange', 'k', 'darkgray', 'darkviolet', 'royalblue']\n",
    "#Labels = [f'$y_{i+1,j+1}$' for j in range(M) for i in range(m)]\n",
    "Labels = ['y1,1', 'y1,2', 'y2,1', 'y2,2', 'y3,1', 'y3,2']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m*M):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "    #         #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=Labels[i])\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 41])\n",
    "plt.ylim([-0.01, 0.31])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ab2caa1-d262-48fb-93b9-f6ac95700700",
   "metadata": {},
   "source": [
    "### Reduce the number of agents / Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "d619f50a-f85f-4209-bc48-b45c58650423",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 39001 of 40000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 1000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*2000), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56a0f41c-6906-4b7e-a423-fb66894acfee",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "5c8a78a8-afc2-4611-a56f-b04a31c5a256",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CCCHEhCJhhRibavJg159g73PgbOz72OhstYrInJsgLHFk+jcUfF5VbDRQ0OB1wdaHQff2fx3N2BFeZEp4IYQQQgghhJgQJKwQY5u7Ffa/DLuehMov+z7WaIFpl6ngYtJpgYthjhftdXDoDWgpC7x6Sl80I2SsUj8DIYQQQgghhBiHJKwQ40fVNvjqT7Dvb+Bp6/vY2FyYeyvMvkGtKjJeeV1qBZWmQmgsVEU8Qwkvpl4EyQt7b/c4wdUIBgsYrSrgMRiHutdCCCGEEEIIcVwkrBDjj7NRBRZfPQE1e/o+1mCGnItg7rfGR22L/nic0FzSf3ix6A6wxfTeXp+vfnbdGUwd4UW3AMMfZFjAZO0KN1KWgMnW+7o+rwpWTNbx/zMWQgghhBBCjLpQ79/H2FqR4oRmjYYF34X534HyzWqKyIFXwOvsfazPDQdfVS0qE+beArNvGrsrifTHZIXYHNUgcHhhiQocVIAKFI7l86jW32gVUKuXBAorWsphz1/V487wo3vI0SMI6Xjc/ZjYXDDbQ/gBCCGEEEIIIUQXCSvE2KNpkH6yaqf/BvLWwq6noP5A4OObCuGzn8DnP4Ws89U0keyvqZvr8SpQeOFsCH58oLBiIIzWwNt93a47kPCj04LvBQ4r2qpVodXOoMMUBrHTIGUpmMMH1nchhBBCCCHEhDOO7+bECcEeD0t+DIvvhLJPYfdTcPAf4HH0Plb3wZG3VItIUyMt5t6ilgId70xWMCUH3+9zH9/1jZbA2wONahmq63aGH+5WoF4VHS37FBLnQ+oKCEs4vucWQgghhBBCjFtSs0KMP456VZ9h91NQvaufgzVV02Lut1SNi2A3zxOB7gOvWwUBXldHIODqehzoq8+l6lLMuDLwNY/uhEP/HHyflt0beHpJwxG1fG1fYqer0TWRk8f3CjBCCCGEEEIIPymwKSY+XVfLnu5+Cvb/veMT+j7YE9UqInNvhbjpI9PH8c7nAXdb4JCjVwDSLSDxdHydd1vgwpy1++HAS6H1ISIN0k6G+FlS5FMIIYQQQohxTsIKcWJxNcP+l1RwUfll/8dPOk2Ntph2mRSAHA0eB7TXdgQdTqg/qEbJ6N7g51hjIPUkSFqopsUIIYQQQgghxh0JK8SJ6+hXKrTY94JaDrUv1hiYdZ0KLhLnjkj3RBCuZqjYClX/AU978OMi0tSIDSGEEEIIIcS4I2GFEO42tbTp7qdU4cb+pCyDOTfDjKvUMqpidHhdcHQHVHyh6pMcK/t8tWqIEEIIIYQQYtyRsEKI7mr3we6/QN6z4Kjt+1iTXU0PmXMzZKySOgmjRfdB3X4o+xxaStU2Uxgs/hEYzUHO0aUYpxBCCCFOWLqu43a78fl8o90VMUEZjUZMJhPacbznlrBCiEA8TrW6xe6noHh9/8dHZ8PsG1VhzqjJw907EYiuQ3MJlH8O4SmQcXrg41orIf8NSFsBCXPAICszCyGEEOLE0NbWRmNjI83NzXi9fdQAE2IIWK1WYmJiiI2NHVRoIWGFEP1pOAx7noY9z0BrRT8HazDlbDXaIueiwMtxiuHX18iJ/Deg+iv12BKppvUkL5ECqkIIIYSY0JqbmyktLcVsNhMVFUV4eDgGg+G4PvkWIhBd1/F4PP5gLDY2lpSUlAFfR8IKIULl80DBOhVcHHlLfd8XWyzMuFYFF8kLR6aPom/OJtj+mJo60p3BDMmL1CoitthR6ZoQQgghxHBpa2ujqKiIqKgo0tLSJKAQI6a+vp7KykrS0tKIjh5YvT8JK4QYjLajsPcF2PNXqN3b//GJC1RoMfMasMcPe/dEEKWfQvGHfR9jtIHRAkbrMV8tkHNJ4BEb7la1xOqx52lGqY0hhBBCiFFXUVFBa2srU6dOlaBCjLiioiIMBgMZGRkDOk/CCiGOh65D5ZdqtMX+v4Orqe/jjRaYejHMvRkmrwaDcUS6KTroOtTnq7oWTYUDO9dggpP+v8D7jn4Fh97ovV0zdIUXBouadpIwB5IWSoghhBBCiBGh6zr5+fnExMSQlJQ02t0RJ6Da2lpqamqYNm0aBkPoixKEev8uFeiECETTIHWZaqf/GvJfV8FFyceBj/e64OArqkVMgjk3wuybICZ7RLt9wtI0iMtVraUcyjdDbV7vaSGBGK3B9/lcgbfrPvC0qwbQXg2NR+DoTph6IYQlDPglCCGEEEIMhNvtxuv1Eh4ePtpdEScom82Gz+fD4/FgsViG/PqDWpPxD3/4A5mZmdhsNpYvX87WrVuDHvvUU09x6qmnEhsbS2xsLKtXr+51/I033oimaT3aueeeO5iuCTH0zGEw65vwjY/glsNw0k8gso+hTi2l8MUv4K9T4ZUzYO/z4G4buf6e6CLSIPcyWPhfamWQvsIIUKMjgvE4B/bczcWw60k1LSWUoEQIIYQQYpA6lycdyCfaQgylzt+94Voqd8AjK15++WXuvPNOnnzySZYvX85jjz3GmjVrOHDgQMDhRxs2bODqq6/m5JNPxmaz8fDDD3POOeeQl5dHenq6/7hzzz2XZ555xv+91drPDYYQoyEmG1b+D6z4qVr6dM/TapqAN8gn8CUbVFv/fZh+pVoCNe1kmSowEmwxkLkGJp8F7TXgdarwwedSf15ep/raV1ihaSrs8LqAEGfM+TyqfkZtHsy5qe/rCyGEEEIcJ6lVIUbLcP/uDbhmxfLly1m6dCmPP/44oFKUjIwMfvCDH3Dvvff2e77X6yU2NpbHH3+c66+/HlAjKxoaGvjnP/858FeA1KwQo6y9Dva/qIKLozv6Pz4mB2ZdD7Ovh6gpw98/cfx0HXzujpCjI+jwuVT44W6Fsk/AUdfznMR5MO3S0emvEEIIISY8h8NBQUEBWVlZ2Gy20e6OOAEN9ncw1Pv3AY0ZcrlcbNu2jdWrV3ddwGBg9erVbN68OaRrtLW14Xa7iYuL67F9w4YNJCUlMX36dL7zne9QW1sb9BpOp5OmpqYeTYhRY4+Dhd+H67bDN7fDwh/0vUxmwyH4/AF4KlNNE9mzFlwtI9VbMRiapkZIWCLUn3dEqgqa4nLV8rXzv6OmnNCRLpvDIVOmsgkhhBBCCDFYAworampq8Hq9JCcn99ienJxMZWVlSNe45557SEtL6xF4nHvuuTz33HOsX7+ehx9+mI0bN3Leeefh9XoDXuPBBx8kOjra3wa6VIoQwyZ5IZz5O/h2OVzwspqGQB/Do0o2wHs3wRPJ8O4NUPyR1DoYj4xm9Wc99xawJ0LW11StEyGEEEIIIcSgjOhqIA899BAvvfQSGzZs6DFM5KqrrvI/njt3LvPmzWPq1Kls2LCBs846q9d17rvvPu68807/901NTRJYiLHFZIPp31CtqQT2PQ95z0L9wcDHe9pg73OqRU6GWdep+hax00a23+L4RE6C+berpU2Dqd2vRmnISjFCCCGEEEIENaCRFQkJCRiNRqqqqnpsr6qqIiUlpc9zH330UR566CHef/995s2b1+ex2dnZJCQkcOjQoYD7rVYrUVFRPZoQY1ZUBiz/b7hpP1y9Wd3MWmOCH99cDFt+CU/nwosnw1d/AkfDSPVWHC+DMXgBVVcLHH5ThVKH3wKPY2T7JoQQQgghxDgxoLDCYrGwePFi1q9f79/m8/lYv349K1asCHrer371K/73f/+XdevWsWTJkn6fp7S0lNraWlJTUwfSPSHGNk2DtJNg9RNwewVc8Apknw+aMfg5FZvhw9vhyRR460o48o5abUKMTwXvgqddPa7aBjv/CHVBRtsIIYQQQogJxel08sUXX/D73/+e6667junTp2MwGNA0bchX1igpKeG1117j3nvv5cwzzyQ6Otr/PD/72c+G9LmGy4Cngdx5553ccMMNLFmyhGXLlvHYY4/R2trKTTfdBMD1119Peno6Dz74IAAPP/wwDzzwAC+++CKZmZn+2hYRERFERETQ0tLCz3/+cy677DJSUlI4fPgwd999Nzk5OaxZs2YIX6oQY4jJBtOvUK21Eva9CHlroWZ34OO9Tjj4imrhKTDjWjVNJHHuiHZbHIeGI2o50+5cTWolmYS5kHWe1LkQQgghhJjAbr/9dtauXTvsz1NUVERmZuawP89wG9DICoArr7ySRx99lAceeIAFCxawc+dO1q1b5y+6WVxcTEVFhf/4J554ApfLxeWXX05qaqq/PfroowAYjUZ27drFhRdeSG5uLrfccguLFy/mk08+wWq1DtHLFGIMC0+BJXfC9V+p1UQW/VAVaQymtRK2/T94bh48vxi2/w7aqkeuv2JworNU4U2jpfe+mt2w43Go2aOWSRVCCCGEEBOO3u19XmRkJKtWreq3nMLxPo+maeTk5HDaaacN+fMMN03Xx/8741DXaRVi3PC61ZSBvc+q2gY+d9/HG0zqRnjmN2Hq19XIDTE2ORrgyFvQcDjw/tjpMPUCsESOaLeEEEIIMb44HA4KCgrIysrqsXiBGLtefvll2tvbWbp0KTNnzsRgMHD66aezceNGoGfIcDxqa2t58sknWbZsGUuWLCE2NpYNGzZwxhlnAPDTn/50SKaCDPZ3MNT79xFdDUQIESKjGXIuVK29Fva/pIKLyi8DH+/zwOF/qWaJgtwrYNY3YdJpfa9MIUaeLUaFStVfQcE68B5TZLP+AOwogsxzIGlh8GKdQgghhBBiXLnyyitH5Hni4+O5//77R+S5hpPcxQgx1tnjYeH34NqtcGMeLL0bItKCH+9qgj1/hVfOgKcy4ZP7oCYv+PFi5GkaJC1Qf65xM3vv9zpU8LT3eXDUj3j3hBBCCCFEF7fbTUpKCpqmce655/Z7/J49e/zFLH/1q1+NQA8nJgkrhBhP4mfBaQ/Dt4rhsnUw4+q+p3w0l8DWh+DZOfDcQvjPr6GlIvjxYmRZImH6N9RIGHN47/2NR+CrJ1QtCyGEEEIIMSrMZjPXX389AB988AFlZWV9Hv/0008DYDKZ/OeJgZOwQojxyGCEzDVw/otweyWseRoyzgD6mDJQvRM2/hj+PAlePQfyngNXy0j1WASjaZAwGxZ8DxLn9d7v84AtPvC57bXgbpWinEIIIYQQw+zWW28FwOfz8dxzzwU9zu1288ILLwBw3nnnDUsBzROF1KwQYryzRsOcm1RrKoH9f4d9zwf/NF73QdEHqn34Hci5WNW3mHK2KtQpRoc5DKZdqpYxPfyWms4DkHYyRKQGPif/NWgpB6NNTReyx4M9QYUb9nj11WgeudcghBBCiLHH54Pa2tHuxciJjwfD0H8mn5uby6mnnsonn3zC2rVrue+++wIe9/bbb1NdrVbqu/nmm4e8HycSuTMRYiKJyoBld6t29CvY9wLsf1Hd0AbiaVP7978IYUlqWsnMb0LyYinsOFpip6lRFkUfQFMRZJwe+DhdVyMrQNW4aClT7VjW6J7hhT1BPbZGS/FVIYQQ4kRQWwtJSaPdi5Fz9CgkJg7LpW+99VY++eQTDh48yGeffcbKlSt7HfPMM88AkJSUxAUXXDAs/ThRyDtVISaqpPmw6hFV3+LyD2H2DWCOCH5821HY/lv421JYOwu++CU0Fo5Yd0U3JqtavnTet4KPdnG3gtfZ/7Wcjar2ReWXULhOBVjbfwulm4a2z0IIIYQQE9wVV1xBdHQ00BVKdFdVVcW7774LwHXXXYfJJGMDjoeEFUJMdAYjTDkLzl0L36mC8/8O2eeDZgx+Tt1++Oz/g79kwUunwq4/Q3vdiHVZdDBagu9zNh7ftJ1gdTCEEEIIIURAdruda665BoBXXnmFtra2Hvuff/55PB4PIFNAhoKEFUKcSMxhMOMquORtuL0czvgdpCzr+5yyT+GDb8OTKfDGhbD/JfWpvhhdkemw/L9h0Q/V1J2s89SfZXS2muLRH7uEFUIIIYQQA9VZaLO5uZlXX321x77O0RbLly9n1qxZI963iUbGpQhxogpLgkU/UK3uAOz7m5oi0FgQ+HifG468pZo5HKZepGpcZJ7T9wgAMXw0A9hiVSOn5z6vGxx10F4DjlpV36K9Rn31OoKPrPC6VL2MjDNUuCWEEEKI8S0+XtVxOFHED+8HMosWLWLhwoXs2LGDZ555xr806ZYtW9i7dy8goyqGioQVQgiImw4r/wdO/jmUb1ahxYGX1c1uIO7WrsKctjjIvRxmXAOTTpWijWOF0Qzhyap1p+vgaVd1MY6l63DoTajNg/p8mH5l8JVIhBBCCDE+GAzDVnDyRHXrrbfyve99j40bN1JQUEBWVpZ/VEVYWBhXXXXVKPdwYpCwQgjRRdMg/WTVzngMCt6Fvc/DkbeDF3N01KmaFrv+DBHpMP0qmHkNJC2UFUXGIk0LPmKi7DMVVAA4G2DP0zD1QkicO2LdE0IIIYQY66699lruuusu2tvbWbt2Lffeey8vvfQSAJdddhlRUVEj2h9d19F1HZ/Ph8/nC/i4paXFf3xraytVVVW9jg10fm5uLtoovaeXsEIIEZjRAjkXqeZshEP/hP1/h6IPQfcGPqelDLb9P9Vic9VoixlXQ1zuiHZdDILXBVVf9tzmc0P+a9BaAVNWy6gZIYQQQgggOjqayy+/nOeff55nn32WnJwcGhsbAbjpppvwer29QoBgoYDb7fZft6ysrM/gIFgQ4fP5+u1zWVnXEveNjY2UlJSE9Fp9Ph9GYx+F+YeRhBVCiP5Zo9XSp7NvgNYqOPgPFVyUfx78nPqDsPlnqiUvVqHF9CshctJI9VoMhNECc78FB16B5uKe+8o/h9ZKNd1H6lgIIYQQYpzovJnvb/RAKMHAsdtWr17N888/T1FREXfeeScAkyZNIiIigh07doTcR4fD4X9cUVER0jnf/va32b59OwBvvvkmaWlpA/ipDIyu68N27f5IWCGEGJjwZFj4fdUaC9XqIPtfhJrdwc+p2qbaxv8Dk05T00SmXSYrUow1lggVSBW8C1X/6bmv8QjsfkoFTuEpo9M/IYQQQoxbfU1V6Gvb8YYNw2XWrFlMnjyZ4uJiampqALjgggv6nDJRU1PD5s2be2yrra31P37rrbd67FuwYAEZGRmD6t/nn3/e49qFhYX+xwcPHuzxXGFhYZx11lkBrxPKqI3houmjGZUMkaamJqKjo2lsbBzx+UFCiA41e9Roi30vQlNh/8cbTJB5rhpxMfVCdaMsxo6qbXDknd5TfgxmyLkYEmaPSreEEEIIoTgcDn9xR5vNNuDzjw0PQgkNjjdQmGiee+45fv/73wNgMBj417/+RXJyctDjt23bxu233x7y9R944AG+/vWv99p+4403kpeXh8lkYt26dURH9162vvvoi/6kp6fz6aefYjAYMBgMaJrmf5yQkBB0GshgfwdDvX+XkRVCiKGRMAdO+SWs/AVUbFGjLQ68Am1VgY/3eVThziNvgykMpn5dfWqfdR6YBv4frhhiyYvBngQHXwFXc9d2n1tNA2qtgMlnSh0LIYQQYojouo7D4aC9vd3f2traenzffRvA3LlzOXr0KAaDYVDhgjg+X/va1/xhxbJly/oMKgwGw4BrP8TExJCWluYPDgwGA06nk/z8fACuueYaTjrppB7hQmfYEBkZGfLzmEwmMjMzB9S3kSAjK4QQw8fngeKP1YiL/NfA1dT/OZZImHoRTP8GTDkn8BKbYuS4mjvqWAQowhSTo6bzmO0j3y8hhBBimHUWPwwWHAz1950BRKimTJnCk08+SUJCwjD9BCauQCMIBrKt8/uNGzdy+eWXA7B27Vouv/zygOdomjZkK2ps2LCBM844A5PJxIEDB8jOzh6S6w6GjKwQQoxfBhNknq3a6j+qWgj7X4TDbwVfCtXVDPteUM0aDTmXqBEXk88Co3lk+y9UeOSvY7Gt576GQ7D7zzDzOrDHjU7/hBBCnFB0XcfpdPpv9Lvf8A90Wyj7vd4gK6CJITOQcGAwwcJwBgevvvoqAPHx8Vx11VVYrcP/IdvGjRsBtXzqaAYVI0HCCiHEyDDZYNolqjmbOpZCfbHvpVCdjZC3VjVbPEy7VAUXGatUECJGhsGkpumEp6rQovufl2YCc/jo9U0IIcSo6z594dib/2BfB3Js968Oh0OmLwyzwYQBx7N9qIKDkXb48GF/WHHTTTeNSFABsGnTJoxGI/fff/+IPN9oknf7QoiRZ42C2der1nYUDr4GB16G0k1AkDcgjlq1GsXupyAsCaZdDjOuhPRTpG7CSElZon72B14BdwsYbTDjKpmqI4QQY1D3KQxtbW09bviDPT7260CCBwkQhk9YWBh2u71HCwsLY/LkydjtdqKiojCZTBiNxuMOEoZy1MFEVFZWRltbG0eOHOGee+7B4/Fgs9n40Y9+NGJ9WL9+/Yg912iTmhVCiLGjpbwruCj/LLRzwlMh9wo14iLtJAkuRoKzSQUWGasgdtpo90YIIcYVn8/XYxRCoPAglGAhlMcyhWF4WK3WHqHBsSHCUH5vtVqDhgfHuxqIGLjTTz/dPw2j0yOPPMJdd901Sj0aXVKzQghx4ohIg0U/UK2pRK06ceBlqNwa/JzWCtjxO9UiMyD3G2rERfISkE8Ghoc1Cube0vfPV9fl5y+EGFd8Pl/Qm/++QoX+goZAQYIYWpqm9bjR737DH+hxqNsChQd2ux2DQT4YOdGFhYWRm5vLHXfcwQ033DDa3ZmwZGSFEGLsayxQn+QfeBmO7gjtnOhstaLI9Cshcb7cOI8knxcOvARJiyB+5mj3RggxznXWQwgUHITaggUPx9ZCEEPHYDAEDANCCQwGeo7FYjkhpy7IyAox2mRkhRBCRGfBsntUq89XocWBV6Bmd/BzGo/A1odUi81VU0Vyr4DEeRJcDLfCderPqT4fJp0GGWfIz1yICcrtdg8oNGhtbR1UuCCGTucNfl+BwEDCg2D7TtQAQQgxdGRkhRBi/Krd2zXiom5/aOfE5HQEF5dD0kK5iR5qVdvh8L96bovNVauJWCJHp09CnIC6L+/YX1gQLEAIJVjweDyj/VInBKPR6L/x7x4A2O12wsPDg4YDA31ss9kkQJhAZGSFGA66rof878Rwj6yQsEIIMf7puhplceBl1RoOh3ZedLYKLXIvlxoXQ+XwW1C1LfA+a7QqiBqRBuFpEJEqy56KE1L3IOHYQOB4v+/efD7faL/Ucc9sNvcKEUIJEwb6vdlsHu2XKsYhCSvEUHO5XDQ1NREZGRnSUqwSVoRAwgohhJ+uw9HtsP9lOPgKNBWFdl7UFLUcau7lkLpMVhUZLF1XBVEL3wM9hBsla3RXcBE1RTUhRlHnco/dQ4Chetz9+wnw9mtUdYYIxwYAgQKFzjChr+MDbbfb7ZhMMmNajF0SVoih4vF4aGpq8tfuMZlMJCYm9jvCQmpWCCHEQGgaJC9W7bSHoWILHHwV8l/tO7hoKoJt/0+1iEldIy7SVkhwMRCaBqnLISxZTdHx9DPX3NmoWt0+iJshYYXol8/n63Xj39/XgR4jyz0OnqZpfYYH/YUJoZ4jIxGEEOL4eb1eWlpaaG1t7bHd4/HQ3t5OWFjYKPVMkbBCCDFxaRqknaTaqkeg6j8quDj4D7XCSDAtpbD9MdUi0mDaZR3BxUowGEeq9+NbdCbMuw2KPoD6g+Bz939OeGrwfYfeBI9D/XlEpKljzaP7H6gIrLPgYqBQINRwIdCxnY9lxYbBMxqN/mCgr4Dg2JEIAwkTpCaCEEKMfbqu09raSnNzc9CRfm1tbRJWCCHEiNA0SFmq2qkPqSVQO4OLhkPBz2sphx2/Vy08BXIuVcHFpFPBIP+E9skWA9OvUNNB2mugpQJay9XPtLWyd4ARkRb4OrquAg93qxqB0cka0xFepEPSAql/EaLOKQ7BgoGBPj52m9sdQjAleumc1nBsMNDf9wPZJqMRhBDixKbrOu3t7TQ3NwcdRahpGpGRkYSHj/77KnmnLYQ48WgaJC9S7ZRfQvUuNU3kwD+g/kDw81or4as/qmZPhGkdwUXG6RJc9EUzQFiSasxX2/wBRjm0VqivwcIKV5MKKo7lbFCtdi+UfgIzrlTL3I5zXq+3RwAQKCgYyDYJE46fwWAgPDy8RwAQaITCQB93fi/TGoQQQgw3p9NJU1NTn+8DwsPDiYyMxGAYG1Og5d21EOLEpmmQNF+1k/8HavO6RlzU7g1+Xns17PqTarZ4yLlYhReTzwJT/9WTT3g9AowFfR/bUt7/9bwO2Ps8ZH8dkhcORQ+D0nUdh8PRZ2AQSqgQbJ/T6RzW/k9ENputV3jQ39dQ94WFhWGxWGRqgxBCiHHL6XRSW1sbdL/NZiMqKmrMFRUeW70RQojRpGmQMEe1k3+mwoqDr6ngomZ38PMctbDnr6pZIiHrfBVcZJ0HlogR6/6EFTkJpl7UNQKjrRJ8nt7H6T44/CY4avFNOoO29vZ+Q4RArbPQVF8jFWRJyNBpmtZjVEJfXwcaOHSOShgrnwAJIYQQY5HFYsFiseByuXptj4qKwmKxjFLP+iZhhRBCBBM/C1bMghU/gboDkP+amipSvTP4Oa5mOPCSakYrZK5RwUX218EeN2JdHw+8Xu+AQgN/a2mhtalOtcZaWlsaaW130+pw0epw09r+S9qdAcIMEdCxUxyO9/GxX61Wq4xKEEIIIUaRpmlERUVRU1MDqKVJIyMjx3xRZAkrhBAiFHHTYfl/q1Z/SAUXB/8BVduCn+N1wuF/qaYZVW2LaZeqKSPB6jOMMT6fr98QIVCoECxo6L5dpjuEpnMpyEABwUC2BbuGTHEQQgghxj9d13E6nUE/JLBYLISHh2MymQgLCxsX//dLWCGEEAMVmwPL7lGtsQDy34D816H8cyDw8k/oXiher9r670HqChVcTLsEYqYeV3e611DoHgYcz+PO1t7eflx9O1FYrdaAgUF/gUIogYPdbh8XbyiEEEIIMfI6Q4qmpiY8Hg9xcXHYbLaAx0ZHR49w746PhBVCCHE8orNgyZ2qtVSomgn5r0PJx73qKnh90OpSraV6M63/2UyL6//Qas+iJWYprdHzaNFiaG1rCxgi9BUsSA2F/h0bBkRERPQZHgwkZBhrBamEEEIIMfG53W4aGxt71KJoamqaMFMw5d2VEEIcw+129woIWlpaAm4L/NVDa/M8WuqraG2qo6WtnVYnOIKWUSjoaK+M3Iscg7oXYgw1SOjVjG7Cqz8hPDaV8DmXER4RKUUYhRBCCDEmOJ1OduzYwZdffsnWrVvZunUr+fn56Loamdv5tS+6ruP1emlubg44Atbj8dDa2sr27dtZt24dn3/+Ofv376eurg6bzcbkyZM57bTTuP3225k3b96Qv8ahJGGFEGLccrlcQcOEgYYM3R/3tf70ia57oBAsWAgWNPQXQAxZkSf3GjCYwTg2K1sLIYQQ4sSi6zo+n4/bbruN5557LqRzGhsbcbvd6Lrubz6fr99Aw2QyMXPmTEpLS3vtc7vd5OXlkZeXx5/+9CfuuusuHnroIXQd3B4dtwdcHr3jsY4GpCeZB/OSh4SEFUKIYefxeAIGCMG2hRo+SKgQnN1uDxgSBHscaugwLuonmMP73t9SDvYECTOEEEIIMaR8Ph/t7e20t7fj9Xp7hQvdR0JEREQwf/58Dh8+TGVlZa9rud3uXkuN9sVgMBAVFYXdbqeiogKAnJwcLrvsMlauXElySirNLW18/NHH/OHx39LQUM+vfvUrmtrgjrv+J8g1NXRdH7X3fhJWTGDNzc1UVFRQXl5OY2MjNpuNyMjIXm2srqsrRp7P56Oto15CsGBhIKFD5zZZ9SEwo9FIeJiNCAuEG51EmD2EW1Dfd7QIK7232U2Ep88nPOtUIqadRXhCRo9wISwsDKPRONovb2xqq4a858AWAzOuAWvUaPdICCGEEOOcy+Wira2N9vb2Pkc+nHHGGaxYsYIFCxYwbdo0IiIiuPjiiwOGFaEGBJqm+d8D+nQNh1Nn8eKl/Pjun3DKaavxeDVcHh2vVyc6Ca7LXs6qs6/gqktPp662mr88+Wsu+8aNZEzO7nVtn0/H6wPTKL2tlLBiAtqyZQuffvopzc3NIR1vsVh6hBdnnXUWMTExw9tJcdw66yqE2voKHrofI3qzWCxERET4/yPo/vXYbcfu72tfjyUjdR2OblfFOfNfh7r9ffTIA2yD1m2w87eQtgKmXgRxF0Nkygj8RMYpdyvsfxG8DmithN1PwYyrx80yskIIIYQYW3Rdp6amJuTRvhdddFGP7/sqkB4orNB10DHg043oGDGarGgGM7UtUNngwedTQclzr2wAoLlNJ9BKdZOnTOW7//Xf/OKnP8Lj8fDh+29x060/DNgPt1vHZJSRFSJELS0t1NXVMXny5ID7DQZDyEEFqCSwtraW2tpaAM4888yAx9XU1PDSSy/1CDYiIiL8X/srXjdp0qSAx7S3t1NdXd3nuQaDgfj4eOx2e4ivauzoXFZyIMFCKG0gw8JOFFarNWCQEB4eTmRkZL9BQ7DwwWwegbl6mgbJi1U75ZdQuw8OdSyJWrWtjxN1tWRq+efwyT0QN0MFFzkXQ+oy0KSopN+hf4Gjvut7VzPseQamXQbxM0avX0IIIYQY09xuNxkZGVRVVbFmzRrWrVsHqEAh0P3N/v37OeusswC4//77+e53v9tjv6ZpQc/VdR2PFzRjGEaLDa9Pw+PT8Hg1PF4VWPh5IVAYEYrlK1b5H5cUHQHAaNSwmDTMJjCbOh6bR2/6r4QVY1xLS4t/Kkd5eTkVFRU0NTVhMpm47777Ag71Tk1NPa7njIiICLi9sbGRmpoaampqBnXd++67D6vV2mt7WVkZL7zwQkjXiI2NJS0tjbS0NFJTU0lNTR3SAEPXddrb2wOGA83NzSFvP3abLCvZU+dIhe6hQPcwIVh40N/jCbV8ZPxM1Zb/NzQVw+F/waE3oXRDryVRe6jbr9qXD0N4Cky9UIUXk88EU+A1t08YmWugvQYctV3bfG448DJkngOpJ6nQSAghhBCiG5PJxPXXX88jjzzCBx98QFlZGenp6YBaGv3YKc+vvvqq/7zbbruNpKQkf0DROWLC7VFFLT3errChoNyF26N3BBIaMPTzL0wdIYTF2DUaJCrCTE6GBaNhbL0PmkDv7Me/1tbWHqFEeXk5TU1NAY/1eDxUV1eTktJ7yHdycjIGgwGfz4fFYiE1NZWkpCScTifNzc3+FqiOgM1mC/opcktLy/G9wCFQX19PfX09eXl5/mV7zj//fFJSUgIGBceGBv19L8FCTwaDIWiYECgwCGVbeHi41EkZqKjJsPD7qjkaoOAdOPRPKHgX3H38vWythF1/Vs0cAVnnquAi+3ywxY5U78cOexzMvVWFE02F3XboUPgetNdC1nlgkHofQgghhOiqReFyubjlllt45JFH8Pl8PPfcc9x3332Aun8yGAxomkZYWBhms9kfVqxZcx7xiZNobtdxu3VcHp9/pY3OERIud1dY0f3xYGmaGhXhHxnR2cxgNmr+opkvPf+p/5ypOTMYYzkFIGHFqGpubmbHjh3+cKKxsXFA55eXlwcMK8xmM1dddRVxcXHEx8cHLc7icrn8N+udAUZfN+oDmVoSiNvtpq2trVeYkJ+fz65du3C5XDidTlwuV48WaFtn03WdX/7yl8fVr4nCbrcHDQr6CxKCHTNkS0mKoWOLgZnXqOZxQsnHKrg4/C9orQh+nrsFDr6qmmaEjFUw9WLIuUiFIScKsx1mXQeH34LqnT33Vf0HnPWQe4WMQhFCCDHidhxw4PbomEwaZmPXDafZpPXY1vnJeGd9gn7pPhXInyjs8cc1DbZzRY+2trYetSimTJnCqaeeyieffMLatWu57777/FM2wiPj8foMtLt1XnrtDf8U9/MuvI7So0O/ep3BoKZq9Awj1O+FyRi8OKeu6zhcPurqW/ndb38LqGnU5573dZxuHZtlbL3vl7BiBARb7sXtdvPRRx8N6poWiwWHwxF0f25ubkjXiI+PJz4+vtc+Xdd7BAvNzc00NDSQlJREXV0ddXV1NDQ00NDQ4D+mM1jobN3DBqfTyc9//vNBvdaJqL+wIFjrrA8SKFyQ1R9OQCarGi2RdS6s/iNUfqmmihz6J9TtC36e7oXij1T7+L8gcUHHdJGvQ/KiiV/nwmBUIY09HorX99zXcBh2/xVmXquCISGEEGIIuD06RRVupk4yB72RPFzmoqUt9BG+VqOLnGQfDS1eovARZgvy/3d7LTyRNJhuj0/fOQphiQM+ze1209ra2mtFD1XUUqOhycE137yZTz75hIMHD/LqmxuYt/DkbseqP7u//+1ZAOITkjj9rK8N+mX0CCTMXaMkLCYNYx+BRCA+n47DpZrPp/PAT+6ltLQYgJtv/Q4pqWk4nDpW8+gtUxqIhBVDrK2trcc0jvLyci666CKys3svBRMbG4vNZuszdAAVKqSkpPSo1RAfH9+jIIvH4+kxQiLQ44F8bWlp6XPZnRNF51JA3YOCzqkiFovF36xWa4/vg7XU1FR++MMfTqzaCmJs0AyQuly1U/8v1Od3BRfln9Nn8aXqnap98T9qZYys81VwMfksMIeNTP9HmqbBpFPBFqcKmXavA9Je3bVSSOSk0eujEEKIca/N4WN/oYsDxS6cLh92WzjpiYGnXLv7KEnVF92n91li0evVh6Hywdjldrsx+nz9Fv8HNYrC4XDQ2tqKy+XBhxGfbsanm/B1rrqhG9HRwAMrVl1MZOQdNDc38vLfn2XughU9rldTXcUnG94D4MJLrun3Pb/BoKZldEqJN/nDCaNhYIFEIF5vZ0jh8087efWVF/nrU38EIHf6TO67/38waBqWUSykGcyg7pj+8Ic/8Mgjj1BZWcn8+fP5/e9/z7JlywIe+9RTT/Hcc8+xZ88eABYvXsz//b//t8fxuq7z05/+lKeeeoqGhgZWrlzJE088wbRp0wbTvRHT1tbWq/hlQ0NDr+PKy8t7hRWdUzAsFgvFxcX+kQherxe73Y7VasVsVsmr1+vl0KFDfQYR/QUeJ4ruoYLb7R5QqNB934IFC7jyyiux2+29/pF49dVX/b/PA3XOOedIUCFGRuw0WHqXaq1VcORtFV4UfwCePv69aClXN+q7nwKTHSavVsFF9gUQcXzFe8ekhNlgjYb9f1dLm3Zyt0LeWsi5RB0jhBBiTGl3+HB7dSLDDGPqk+BO9c1e8g47KSh34+02XSPviCtoWOHxDP6Dwr5+Au0uH4HL509MtbW1mLxR2Gz2joKW6uejaeqjm3aHC49Hx+X24XJ78elGfHqkCiT6YbPZueCiK/n7C3/m3X+/xv0/+zV2e9cHO2++8SIej0qdLvvGDYAKJCwdNSO6j47oDCS6T72IjhiaWMnt0XE4fTiPqYHx2acbueO/bgMgNjaOZ59/hcS4cKwWbUz+PRrwXdPLL7/MnXfeyZNPPsny5ct57LHHWLNmDQcOHCApqffwog0bNnD11Vdz8sknY7PZePjhhznnnHPIy8vzV1D91a9+xe9+9zueffZZsrKy+MlPfsKaNWvYu3cvNtvYmDfc2NhIfn4+R44cobi4mNLSUmpra/0hw7HTHro/fvHFF7FarT3CBVl2sqvGwrFLoAZ7fOwUiGOPsdvtPRLUjz/+mPz8fKqqqvB6vQPqm8FgICws8CfKwVZLAVVg59hlXSMjIykvL6eyspLZs4Pf9OzatYtp06aNy+VZxRgXngxzb1HN3QqF76sRF0feBkdd8PM87XDkLdUAkpd0BBdfh6QFE2fljMhJMPdbsO9valRFJ58HDv4DLBEQNaXnOfpxFuKd6FNthBBimHh9Otv3O9hX6MLn0wm3G5iUZGZSkonUBBMm4+j936TrOhW1KqQoqw5cp6C82k1dk5e4KGOvc6dPsajii14VXLi7N6+6AfV6Awcanf8lezwe3G63//2kx6vjdOknVFih6+DxGmlu8+H1qdEFXh94fXTU+dA6moHBfHZ/+VU38fcX/kxrSzPvvfM6F1/2Tf+UjTdfew6AJUuWceap8zCbhmaERKjcHp02hyrieaydO/7DN6+5BKfTSUREBG++9TbLl8wekyFFJ00f4Fj/5cuXs3TpUh5//HFADZ3JyMjgBz/4Affee2+/53u9XmJjY3n88ce5/vrr0XWdtLQ0fvzjH3PXXXcBKhhITk5m7dq1XHXVVf1es6mpiejoaBobG4mKihrIy+nX1VdfzWuvvdajuMqJyGg09roJDxQYhBo8REREjFiNBY/Hw9GjR3uMgjl69GifAUZCQgLf//73A+47ePAgRUVFAUOJYCupdPYj2KiK8vJy/vznP2O1WjnppJM46aSTJLQQw8/ngbJPVbHJI2+pqSOhipgEUy9QwcVEWRbV41DhRMPhrm2J89ToimP/Iy98D8o3D+55bHGw6L8G308hhDhBtbT52Lijjer6wPMlwmwGrjgrcsRvvrw+ncJyN3lHnNQ19f0BWUaymUUzbMRGDu59sM+nCjq6PDptbe0crSxi8uQs7HYLba0ttLaqUYJJSUmYTCaa27w4nV60bst2u91uNA1sViPhdvOwBzw+nw+H04HD4cDl7PrAVtfBYArHZOn9nlfXdX8x/c52bEFRo+ZG0/SOkRFGfBjRMeA2Jw3LhwKdq2xYTBrnnb2M3bt2ctppp/Ph+o8wGWHr1q2cdNJJAPzpT3/itttuC+m6p59+Ohs3bgQ47mn4TreP5tbeH6js35fHRRecRV1dLVarlX//+9+cddZZx/VcAA6Hg4KCArKysgY0yCDU+/cBRUkul4tt27b5l2kB9Qn06tWr2bw5tDdtnVVV4+LiACgoKKCyspLVq1f7j4mOjmb58uVs3rw5YFjRWbCxU7DlPYeCruvjMqjo/IT/2GAh1G3HfrVarWM6deuLyWTy1/tYvHgx0BVgdIYXTU1N2O12/88jJiYm6PVyc3NDKmAaqB/BbNiwAVC/2xs3buSLL77gpJNOYsWKFWNmdJGYgAwmyDhdtdP/H9Qd6Aouyj7te/RASyl89aRqpjCYcnbHqIvzIbz3KkXjgskGM65RS8JW/QciJ6vCo+P03z4hhJhISqrcfPpVO05X8P+bkuNMI/p+1eXWOVjsYm+BkzZH8H4ZjRpT083MzrYe9zB/g0HDYgCLWcOkGanRwO1qo7WloceNbnNzMzExMRgNGprBgG7vKjjp8Lag69DmhHqXhtWiEWE3YrNZMJmG5meo6zpOp5O2tjacTg+6bgbNDMe8rXX4rITZogI+Z1ik1jFKQu9onaMk1EiJ4SqvZzRq2Cxaj8KWFnPPVTZu//a3+N73vscnn2yktKSQrKwsnnnmGdXvsLCQPnAfDqr4ptZjBE5h4WGuuPQ86upqMZlMvPzyy0MSVIyEAYUVNTU1eL1ekpOTe2xPTk5m//79IV3jnnvuIS0tzR9OVFZW+q9x7DU79x3rwQcfHLGVJSIjI0fkecLDwwN+Ut/f42DbpC5C37oHGKOtvLycgwcP9tjWGVps2bLFP9JCQgsx7OKmq7b0LlU5vOBdFV4UrgNXH6Gwpw0Ov6kaQMqyrukiifPG182+wagCl4hUiJupAp2R5GiA6q8g/RTVFyGEOMF1TvvIO+Ls99hJScH/zf5idzsAGckmUuJNGI9jNIHLrbPzoIP8ElfA4fadbBYDMzItTJ9iwW4d2k/6dV3n4MGDtLe3B3zv397eTnh4OGE2CzaLRrtL1TDwen09bvJ1Xcfh1HE4vRi1dsxGL1ar2V/LbSDhRedoiPb29l4ragRjMnjw+XxoBiNer46vI/Px6eD2qLokfVYPHSQNHU3TMRo0zCYDRqO6yTcaINxmwB5sZZUO1157LXfddRft7e2sXbuWe++9l5deegmAyy67bMhH+3fy+XTcXh2jppaw7fW6NA27RaOlXcdg0Kg9WsYVl5xLZWUFBoOBZ599losuumhY+jYcRvRd2EMPPcRLL73Ehg0bjuvG67777uPOO+/0f9/U1ERGRsZQdLGXYGFF56fw0dHR/rAgUKgQbFv378PDw0OqVismJpvNxpw5c8jLy+v1j7rD4WDDhg3+kRYSWogRY4+HWd9UzeuC0k/UiIvDb0Hjkb7Prdyq2mc/UaMTsi9QU0YmnQ7mcTC9SdMgefHIP6/uU7VEmgqh/iBMu1T9OQghxAmqpd3Hpu1tHA0w7SMq3MjSWTYaW3yUVLmpafCSHiSs8Hp1DpW68Hh19hc5MZs00hJMTEpWtS4GGiQYDVBQ7g4aVESFG5mdbWHqJMuwTLEoLCzk/fffp6mpiZUrVwY8Jjw83B9gGAwa4TZ1E1vf6ERDD1BMUsOrm/B6jLi9Xtrbm9A0HYPB0KMQfaDwwuPx+Jf89Pl6jjDRdfDpJgya+jPUMeDDhNFoBYMFj0+jrRV8+sDqy4Wis7ClxUyPERIWkyq66fKoeh6ubkUoNQ2sluB/ZrqulvaMjo7m8ssv5/nnn+fZZ58lJyeHxsZGAG6++eYhew2d4YTHo+pReDpGTJhNWtBROlaLBpqBxvpqvn7BORQWFgLw5JNPcs011wxZ30bCgGpWuFwuwsLCePXVV7n44ov922+44QYaGhp48803g5776KOP8otf/IIPP/yQJUuW+LcfOXKEqVOnsmPHDhYsWODfvmrVKhYsWMBvf/vbfvs1nDUrCgsLqa2tJTw8nIiICKKjoyVcEMOiurqajRs3BgwtOtlsNlasWMHy5csltBCjQ9ehbp8KLQ6/BRWbQy82abKr5VCzz4esr0HU5OHt63Byt/a9qkpfNAPYYntvL/sMij7o+t5ghqxzIWnR+BqdIoQQQ6D0qJtPdgae9pGZZuHkufYeSy263HrQpRdLj7r5cGtrwH2appEQYyQj2cSkJDOxkaGtLvJVvoMdB3r+P5Acb2J2tpWMpOGZjlJdXc0HH3zgH5EbERHBypUrSU9P9wcTNpuNqKiooKOsnU4nrW3ttDm8eDyGPlbA0DEZXBi1niFCQkICFoul1zVra7tqYui6Cj48ukUt/YkB0PDpw3D/pHVbYeOYQMJoDK2wpdenQguHS8dsgsiwwCGAx6vT2OLFajFgs2h8/tknrFq1CoCUlBQqKyuZOnUq+fn5A/rz716zwuv14fHquI8JJ4510QVn8flnmwBVViEzM7PH/oaGBs444wx27twJwG9+8xvuuOOOkPsUqjFVs8JisbB48WLWr1/vDyt8Ph/r168PWowQ1Gofv/zlL3nvvfd6BBUAWVlZpKSksH79en9Y0dTUxJYtW/jOd74zkO4Ni8zMzF5/+EIMh8TERC6//HJOO+00Nm3aFHSkxccff8zmzZsltBCjQ9MgfpZqy+6BthooeEeNuih8D1zNwc/1tKsVSI68rb5PmANZ56vwIm3FyE+5OB7mcNWGirsNSjb03OZzq0Co7iDkXDi0zyeEEGPY7kMOtu3vHQgbDRpLZtmYMcXS62YwWFABUFoVuCAnqE/Kq+s9VNd72L7fQUSYWl0kLdGEhiqIGcj0KRZ2H3Li9cGUVDOzsy0kxgzP/2MtLS1s2LCB7du39xq50MlisRAVFdUrSDiW1WrFarUSB7jdHppbXbQ5fHi93l4FLA30fC5N0/zF5HW9o9CnW8fpNuL0ReD1GfDpppCWAB0oo7FbEGHWsJjUaAmzScNwnMGQ0aARZtOwW/U+62A4XGq/w+nD4YT5i1YybVou+fkH/eULbrzxxj6DisrKStatW+f/3ufTqajoKn3whyef7nH88pNWkp2dM6DX43Q6Of/88/1BxbXXXsvq1avZs2dP0HPCw8PJysoa0POMhAGvBvLyyy9zww038Kc//Ylly5bx2GOP8corr7B//36Sk5O5/vrrSU9P58EHHwTg4Ycf5oEHHuDFF1/sMUypc0WIzmMeeuihHkuX7tq1K+SlS4dzZIUQo+Xo0aP+kRbBREVF8cMf/nDEVlYR419rayvl5eVUVFRgMpk4+eSTh+7iXheUbOyaLtJUGPq5tliYsgayvwaZ50FYwtD1a7xoLoP816FbxXY/czhMvQjiBl7cVwghxpuyajcfbm3r8aFNZJiBVYvCSBhEINDQ7KW4yk1plYfqBu+AVly4/MwoIsICjwgorHATH20kMsj+46XrOps2beKzzz7D5XL12h8REcFpp53G9OnTiYoKXKQyFD6fTrtT7xht4VEr5vmcGHCqaRyo1TYMRitGsw2XW8flPv6VK46ldYySsJi1XtM2jqfGyFDQdZ26Jm+vMOP3v32U//mZWnzCYDBQVFTEpEmTgl5nw4YNnHHGGSE/7+/+8BeuvuaGHts0DdasPplt//kSs9lMZWWlf/EKUDMDBho8rFq1yl/wfyDG1MgKgCuvvJLq6moeeOABKisrWbBgAevWrfMXyCwuLu4xReKJJ57A5XJx+eWX97jOT3/6U372s58BcPfdd9Pa2sptt91GQ0MDp5xyCuvWrZNPjMUJLSkpiSuuuIJVq1YFDS3mzp0rQYUIqrW11b9kb+fXzvmUALGxsUMbVhgtkHm2amf8FmrzOlYXeRsqvuh7uoijHg68pBoapC7vmC5yPiQtODGmQUSmw/xvQ+H7ajWS7tytsP9FSFkKU84BY/Blkscan8+H0+nE5XL5v3Z/3H3bypUrsVqtAa/jdrv7XB5aCDFxpCeamZtjZVe+Gl0xJcXMyvlhfY6e6EtMpJGYSCPzcqDd6aPsqIeSKjflNZ4+C2QC7C1wsmx24HpLmanD+2+SpmlUVVUFDCrCw8NZtWoV4eHhx71qn8GgYbOCphlpbdfw+ExoJisOt97z5+MF+liNJVS9R0l01JUwaWN29UG3J/CoiyuuvNYfVqw6YzWRMak4XD6sZvVaOkerGAyDf12aBiajGkViNml43A527/oKgOuvv75HUDHRDHhkxVgkIyvEiaCqqoqNGzeyd+9eAMxmM3fccQfh4TI0XKhlobuHEscGE8Hcc8892O0jUPSyvVZNEznyb7W6iKMu9HMj0lSNi6yvwZTVYBmZVZpGVd1BtbqKO8Aca1s85F6mfi6jwOVyBR1mXFRUxLvvvtsjiPB4gg+/PtYPf/hDYmMD1PMAnnrqKQwGA3PnzmXWrFn+0ZlCiInJ59P58Ms2MpJMzMjsPe1jKHi9OpW1HkqqPJQcddPa3vtG3GzSuPzMSKyW0alXV1dXxx/+8Ac12gH1/m/FihWsXLkSXdcH/Km2x6t3jIzoak6Pjqef0GYwjAYVRtgsannUzqVAh6Po6EjwelVdC6db94cQGz7+kCsuPQ+Ap55+kYsvuQJQQZPRoH7e4XZD0CKuTS1eXMf87I8NJ0zH1N7oHJ1hMpk4cOAA2dnZw/FyQzLmRlYIIUZHcnIy3/jGN/yhRWxsbNCgor29nW3btrF06dKgn1KKiWH//v2sW7eOhoaGQZ1fXl7O1KlTe20/dOgQe/bs4eyzzx6aQMweDzOvUc3nVSMtjvwbCv4N1bv6PrelHHb/RTWDGSatUqMuss+H2GnH37exKC4XIr8Lh/4F9Qd67nPUqp9FxulqiVNt6N9Ae71e6uvrqampoba21t86lzC/5557At44eL3eoMuOhyLQp4cAtbW1lJWVAVBSUsK6devIyspi7ty5zJw5U/6dE2Kc6v4J9LEMBo2zl4UN6yftRqNGepKZ9CQzy3Ub9U0+So66KanyUNOggtbEWBNOt46171IQwyYuLo4lS5awdetWFixYwBlnnOG/uXM4Ahd67llPomcw4fUN/dQNo0EVszQa1A262awRYVdFKMfqSInBMBo1wu0aYTb1s3S4dF58YS0AcXHxnPe1C/3Hdv4ZACoICvLflMmk4fbqfYYTx+osxnnttdeOalAxEiSsEGKc6Qwt+hoU9cUXX7Bx40Y+++wzTj75ZJYtWyZv5scpl8tFSUkJ2dnZAf/jslqtAw4qzGYzKSkppKWlBfx02uPx8M4771BXV8f+/fs588wzWbJkydCtgmQwQvpK1U79v9Bc2lGk899Q9CF42oKf63ND8YeqbfgRxOR0rS4y6TQwDe30QZfLRVtbG9HR0SP/hsscDjOugqPboWCdeu2ddB8UfwT1h2DaJYFXF+mHrus0Nzf3CiNqa2tpaGgIWsQN1EieQCHW8f4743Q6A24/tiiYz+fj8OHDHD58mLfffpvc3Fzmzp3LtGnTglbAF0KMLWUdq30snG5l+pTA/3aM5L+7mqYRF20kLtrI/GngdPnw6Qx4WdOBamxs5OOPPyYzM7PHyojdrVq1ikWLFvmn3Xfy+XS8Xp3Wdh9tLq9/GU6XR+9VLPN4mYxqlISug8Gglm81GjW6z24wmzRs1s6lQSdOSHEsTVMjRUpLDvPWv14D4Jprbwg+jdHbteTpsWwWDbvVOKCf16ZNmzAajdx///2DewHjiPyPLsQ4Fewftfb2dr744gv/4/Xr1/P5559LaDHO6LrOzp07ee+993A4HPzgBz8gPj6+13Gpqal9Xqd7MJGamkpaWhoJCQl9Bg+ff/45dXVqmobD4eCdd95hx44dfO1rXyMjI+P4XlggkZNg3m2qeRxQuhGOvKNGXTQc7vvchkOw/beqmeyQcQZkngtZ50HswKpnd6frOv/5z3/48MMPcTqdREREMG3aNKZPn052dna/1daHjKZB8mKIylTFN1vKeu5vLobafZA+sNoj+fn5/OMf/wg6kqE/NTU1AcOKUH4uZrMZq9WKxWLBYrH4H1ut1qBDSA8dOhT0eh6Ph7179/qLcs+cOZO5c+eSmZkpy4wLMQb5fDo7853sPuRE13W27nWQEGMiPnps1eAa7mkfDoeDzz77jM2bN+PxeDh8+DCzZ88OWJvHZrPT0Gbh811tFFV6KKpwU1jhpq2tnZvP8WK0ezCYhubn17kEqNXcs6aE0aj5C3E6XL4e9RusZg2b1YDZNHEDik5lZWW0tbVx5MgR7rnnHjweDzabjXvvuZPIMAMOl96rDoqu6/h8EKjM3GBqWaxfv36w3R93pGaFEBPMxx9/7B8edqywsDBOPvlkmR4yxrW1tfHWW2+xb98+/7bLLruMuXPnBjz+d7/7HXV1df5gojOUCCWYOJbb7ea3v/0tLS0tAfcvXLiQ1atXj0ytFF2H+oNd00VKN4Ev9PoHxOR0BRcZp4M5LKTTWlpaePPNN8nPzw+432Qyccstt/QbFA05n1f9DEo3AR3/dUdNgdk39JgK0tjYSGFhIZWVlaxZsybgpcrLy/nzn/886K5ceOGFLFq0qNd2p9PJgQMHeoQQxz4eTIDg9Xo5cuQIu3fvZv/+/SGFLBEREcyZM4e5c+eSnp4+4OcUQgy9NoePTTvaqKzt+W95VLiRC06JGHQBzbFO13Wampp61JYqLS3tNY3j9NPPZNqsFRRWuFUgUalCiZJKD05371u2xGgP3zm/leTUKRhMob+v677qhuWYUCKUm2efT8fp0tFRQcVor9Qxkk4//fRe77MfeeQR7rrrLv/3Xq8a3aLrnbUnRnaU0Ega7poVElYIMcFUVlayYcMG9u/fH/SYztBi2bJlI/cJsQjJoUOH+Oc//9krLDj55JM555xzAp5TWFiI3W4nMTFxSD5Jbm5u5oMPPmDXrsC1JGw2G2eddRaLFy8e2U+unU1q+seRf6tpI60DqI1gtKpaF1nnqQAjbnrAFUb279/Pv/71L9ragk9FsVgs3H333aM33aCpBA69Du42mP8dGp0ahYWF/lZfX+8/NFjBSqfT6V9ivC8RERHEx8f7W0JCAvHx8cTGxo7aSkQul4uDBw+ye/du8vPz+5yuApCWlsZtt902Qr0TQgRTVq2mfTicvf/OZiSbOWW+fdSKWA6lzmCie8HriooKWltbux2j0e6NpM0bS5snhlZPDG3eGNq9Mfj00P9t7S+sMBi6Qgg1UgK1LOgEn6YxnDrDirCwMHJzc7njjju44YYb+j9xgpKwIgQSVgjRW0VFBRs3buw3tFi5ciVLly6V0GKUud1uPvzwQ7Zs2RJw/4IFC7j44otHtE+FhYW88847HD16NOD+tLQ0zj///NH51Fr3wdEdHcHFOqjc0vfSqMeKyuwKLiafiQsL69atY/v27f2eOmvWLL7xjW8E3Ldv3z7y8/P900WGY6nNpqYmCg8dpPDgVxQebfVP2elF17no4otZuHBhwN2PPvooLS0tmM3mXmFEZxvrS4i3tbWxb98+du/eTVFRUcBaPmvWrGHFihWj0DshBKhP4b/Kd7KrY9pHdwaDxuIZNmZlDc9qH6Phr3/9KyUlJYAaIOjwRdDmiaXV0xFMeGNp80SjD8Fs/M6wIiV9CmF2u3+EROcUjv4KNQpxvCSsCIGEFUIEJ6HF2FdRUcHrr79OdXV1r31hYWFceOGFzJgxYxR6pobfb926lY8//jjg0HtN01i0aBFnnXUWYWGhTbMYFu21UPSBWha1YB20VYV8ammTideLs6gzZao6F/ZE/6iLiIgIzj33XFpaWjhw4ABFRUVceOGFQYugvfLKK/7lhU0mE9nZ2eTm5pKbmzvo/5+ampp6jJwIGk5052yC+gPMX3UZl1x9c8BDysvLCQ8PJyoqakK8mW1qamLPnj3s3r2biooKQP1+/uhHPwr4s9d1nX/+859kZGQwbdo0oqOjR7rLQkx47Q4fm3a2UVHTewpfuN3AqoVhJMWNjxJ6nUWJKyoqMBqN5OTk9NhX0+ilsNzNm+u2cbjUoQIKbww+fehC68gwA5mpZjJTzUxJNTMl2YdVL2NqdtbILEMuxDEkrAiBhBVC9K+iooINGzZw4MCBoMf09YmxGHo+n4/PP/+cjz/+2L9+enfTpk3joosuCrhix0hrbm7m/fffZ/fu3QH32+12Vq9ezcKFC0e/qKHug6NfQeG7UPAulG8GvffP1+eDTUdU61E03RoFMTnMWLSKC2+8m7DYFP8uh8OBwWAIGOp5PB5+9atfBa2nkJqayvTp08nNzSU1NTWkgMDtdvPQQw8F/P0IyufF3vAVUxIszMxMZv5Z10DqcjCMjxuCoVBTU8Pu3btpamrioosuCnhMRUUFf/rTn/zfx8bGkpmZ6W8SXghxfCpqPGza0Ub7OJ320dbWRklJSY86Ey0tLbh8NiLjZzB93lkUVbgpqHBTUO6itX3obqmiwo8JJToex0YaevzfMdgbRSGGioQVIZCwQojQlZeXs3HjxoChxc0338zkyZNHoVcnnoaGBt544w2Kiop67TOZTKxZs4YlS5aMuU+8CwoKeOeddwKOAomNjeW73/3usEx9OC6OBlXromCdCjBaygHYdBg+CrDIhMUE582ABWmgGU2QdjJkrlEtaWGPYpbdHT58mOeffz6kLkVGRpKbm8v06dNJTExE0zRiYmICHvv0009TXFzc5/VsNlvXjbZ+gGTfkWN+dzS1vKk9Hmzx6qs9QT22RAas3zHRvf/++3z++edB90t4IcTgeLw6Ow86yDviCjjtY9F0G7Ozx+60D5/Px8aNG/l40xaandG0emM6pnGor2596EYwxESoUGJKmpnMlK5QIiYytLoVElaI0SZhRQgkrBBi4I4NLbKzs7n++utHuVcTn67r7N69m3//+984nc5e+1NTU7n00ktJTEwchd6Fxuv1smXLFjZs2NBjFME111xDbm7uKPYsBLoONXug4F2c+f/myVc/pb6161O/jBi4ZC7EBZvRYk+AKWfDlHMg8xyISPPv6pyGcPDgQYqLi/st/NjdwoULg44A+Oijj9i0aVOPbT3CicxMkpKS1IgWrxv2PA2tFSE/N0YL2OLUa4tIh7SJX99B13V+85vf0NTUFPI5El4I0b+6Ji8btrXR1Np7NNhYnfbhcuuUVLk5UubmQGELW3aWUd1sw+UbulGNEXaNrDQLmWkqjMhKG1goEYyEFWK0SVgRAgkrhBi88vJyNmzYwCmnnBJ0VEVeXh6bN28e1PD+c889l7S0tF7bHQ4HL774IqDmlYeHhxMZGRmwWa3WMfsJzEB99dVXvPHGG722a5rGKaecwumnnz5qqywMVFNTE++99x55eXlMnz6dq6++erS7NGDFh/byzO/+F63xEKsSizk1+SgD+jVPmNMRXKyB9FPBrD5xa29v59ChQxw4cIBDhw71Wp7uWLGxsfzwhz8MuO/IkSO88sorTJkyxX+jnJycHPzvo88LJRug7FP8S5yGKjpLLYUaSFMxeNrVaAxbLBjGx+9pID6fz7+iSEFBQZ+rvwQSHR3Nj370o2HqnRDjV7vTx5sbW3C4eoa1k5LMnLLAjm0Up334fDqVdV4KylwcKXdTUKamb5Qc9TCAbLlPdqvmn77RPZiIjzYOy/sYCSvEaBvusGJsRZtCiBGXlpbGNddcE3S/rut88sknVFYOYJnIbgKNHgB1s9Df0PZOJpOpV4Axe/ZsMjIyBtWn0TR79mw+++yzHitsxMTEcMkllzBlypRR7NnARUVFccUVV7B48eKAy2N2qq2tpaamZthWxzgek3Nmcd43f0R6ejrpaWlQt1/VuSh4F8o2gTdw/Qm/mj2qbfs1mGyQfhpknoN9yjnMnTOHuXPn4vV6KS4u5uDBgxw4cCBggcz6+noaGxsDflqfmZnJ3XffHXpYaDDClLNUsdDC9/zTXkJiiw++r+ILqFXFQ9EMYO2YVmKPB3Okmk7S2cwREGAZvbHCYDAwY8YMZsyYga7rHD16tEcR0/b29j7Pz8rKCrqvqqoKu90uH56IE5LdamDpLBuf7FQBoNGgsXAUpn00tng5UuamoNzNkXIXBWVuCivctDuH5jNai1ljcoqJrFQzmWmWjq9mkmKNGAwT48MVIcYCCSuEEH3av3//oIOKoeLxeKivr6e+vt6/LSkpKWhY8eKLL2I2m/3BRlRUFOnp6cTGxo76CA2TycSll17KU089hdfrZf78+Zx33nnj+hOR7OzsoPt0Xeff//43R44cwWw291gdIzIyctj75na7+eijjzjppJOCDttftmxZ1zfxM1Vbcie4W6H4Yyh6X9301x/s+8k8DnVs0fvq+/BUyDwH45Q1ZE1ZTVbWGs455xxqamr8wUVJSQm6rmO1WqmtrQ3Yx0EXLI2aAvNuU/1y1EF7jVo1xVHb9fXYMMbeR1jRXtv1WPep8x21UB/keKOlK8SImwFpJw3udQwzTdNITk4mOTmZ5cuXhxReZGZmBr3eu+++S2FhIfHx8WRmZpKdnc3MmTNHv/CsECMkO91MYYUZh0tn5Tz7cU916IvD5aOowt1tpIQaLVHXNDRDJYwGmJzSNVKiM5RITTBhlFBCiGEnYYUQIihd19mwYcNodyOgYDe6Xq+XgwcD31RGR0f3mHMeExMzKuFFSkoK5557LmFhYcyePXvEn38k7d27lyNHjgAqODhw4IC/TkpaWpp/dYyUlJQh/7MoLy/n9ddfp6amhsrKSq6//vqBPYc5HKZeoBpAY2FHcPG+KtjpbOz7/NYKyHtWNTRIXoQ25RwSM88h8aSTWblyJQ6HA4fDQVRU1PDdzJpsqrZGxDHTsXQdXM0d4UVHkBEZpMCurqvAYyC8LvB2BBrhKcGP2/+Sen5zRM/RGZ0jNGxxaoWWERIovKiqqvIHF0VFRUHDCo/HQ2lpKaBGFNXW1rJt2zYyMjL45je/idU6dkebCDEQRRVukuONAad1aJrGqQvCMBkZslEGuq5TVeflcJmLI6Vu9bXMTVm1h6Ga0G41NBNuqifcVE9OhpXLLjiJaVMiMZsklBBitEjNCiFEn6qqqigrK+tV0TtU06ZNC/j30uPx8NVXX/kft7S00Nzc7G8tLS19ziO//fbbSUnpfQPU2NjIb37zm5D6Nlzhha7rfPHFF0ybNo2EhITjvt545XK5ePzxx0MqYhgVFeVfHSMrKwuTafBZus/n47PPPuPjjz/uUeTynHPO4eSTTx70dXs+iQcqv1QjLgrfh8otarRBqMzhkHFGV72L2Glje0UOdzvs/7sKHtytAz9/8mqYdErgfTv+AO29V5fpITYXpn5dBRijTNf1oP9OFBQU8OyzzwbcN2PGDK688spRH90lxPFod/jYktdOYYWb7HQLpy0MVo148NocPjV9oyOQOFzmpqDMRatjaG5ZosINZKWpWhLpCTo7vvgXOMsxGdwYDAbOOussTj755HHxd1VqVojRJgU2QyBhhRATU7AQo7m5mTVr1mC3914+rLS0lL/85S+Der7o6GguuOACpk2bNug+NzU18cYbb1BQUEBaWhq33HLLuCmYOdQ8Hg/bt28nLy+P4uLikAMvs9nM1KlTyc3NZd68eQMKLhoaGnj99dcD1kOx2+3ccccdw/PptqMeij/qCC/eg+bQ6rH4RU6GKavVSiOTz4SwpKHv41Bxt/ecSuJsUCM0XM3gagFvgGKiOZdA0vzA19vyUOBzjmWyw9QL1TSdMWrXrl288847QQuqnnnmmZx22mkj3Cshjp+u6xwpc7N1rwNnt+KZZy0NJyN5cLWIfD6diloPh0u7gokj5W7Kqz1D0mezCaakmslOs5CVZiY7PXCxy6KiItauXUtkZCRXXHHFuKqHJWGFGG0SVoRAwgohRKempib27dvXI+CoqqqitTW0T4O//e1vk5qa2mt7X5+mdsrLy+Ott97qcaNy2mmnceaZZw7sRUxAbW1tPVbHCFZ4tbuwsDDuuuuukKZH6Lruv1EMdO20tDQuvfTSkRnpoutQn69Ci6L3oeTjgY9GSJzfsUTq6o5VRob+08th43Wp0MLd3BVixOYGrofhdcOWXw7s+okLIOu8MVvA0+fz+aeNbNq0qUe9C03TuPrqq8f+Er9CdNPS7uOL3e2UHnX32hduN3Dxqv6nSrS0+9QqHB0jJY50rMjhGIKCl5oGaQmmboGEhax0M+kJJozG0EZH5OXlkZWVRVjYOPq3FgkrxOiTsCIEElYIIfqi6zo1NTU9CuYFCi9sNlvQVRcqKyt56aWXek0bAfUP9TvvvMOuXbt6nWcwGPjhD38YtLjjicjr9VJUVMSBAwc4ePBgj8Kp3S1YsICLL7444L6mpibCwsIwmUy0t7fz9ttvk5eX1+s4TdM49dRTWbVq1eiNcPE4oWJz15SRo9sHdr7RAmkru0ZeJC0a18uG9uDzQktpt5EZx7Ym8PW+QcIWq0ZrRAWpsTFGHD58mBdeeKHHqCKbzca3vvUt4uP7KGYqxBig6zoHilxs2+/A7el9u2CzGFg220ZWmtkf5ncfLXGotCOcKHVRVecdkj5FhhmYmq5Ciex0FUpkppqxW4OH2rqus2XLFubPnx9wROZ4JmGFGG0SVoRAwgohxEAECy+mT5/O1VdfHfCcL774gnXr1vXYFhMTQ2ZmJgUFBTQ29i62GBUVxSWXXNLnMocnOl3Xqa6u9q+OUVpa6r+x+8Y3vsGsWbMCnvfCCy9QXFzM1KlTKS0tpbm5udcxsbGxXHrppWNvSG/bUSj6sGuVkdYBrrZjjVFTRaacrWpBxEwd2/Uujoe7DY683bVkaneaARZ8H+xxI9+vAfjss8/44IMPemxLTEzk1ltvlYKbYsxqbPGyeXc7lbWBp2RkpVlYMM1CRa2XQx0FLw+XqmBiKJYHNRggI1mFElM7gomp6WYSYowDqiXR2trK66+/zuHDhydk3RgJK8Rok7AiBBJWCCGOR+cNs8/nC1i0E+Cll15i//79IV9zzpw5nH/++RPuU5zh1traSn5+Pvn5+Vx44YUBb+ZcLhcPP/wwXm/wT+oWLlzIueeeO/ZvBnUdavNUeFH8IZRsGPiUkagpXcHF5LMgbIIVddV1qN4FBe+At9sUn5RlkP210etXiHRd59VXX+018mfWrFlcccUVE+rGSYx/Pp/O3gIXOw468Hq7bhHanTr1TV5a2nzoQGWth5IqD74huIuIjjD4A4nsdDNTJ1mYkmLGYj6+vxuFhYW89tprPcLsNWvWsGLFiuPt8pghYYUYbcMdVsjSpUKIE56maSQlBS9oqOs6RUVFIV3LZrNx/vnnM3fu3KHq3gklPDycBQsWsGDBgqDHHD58OGhQYbfbufDCC5k5c+wWYexB0yBhjmqL71D1Hiq2QNEHKsCo3Ap6P8Onm4pg919UA0haqIKLKWdD+ilgHueBmaap4pxRkyH/DVW81J6gXt84oGkaF110ETU1NVRVVfm37927l88++4xTTgmySooQI6y+2cunO9s4UuamrslLXZOX+o6vDtfxX99ogCkpZrIndY2UyE63EBdlGNLQTtd1Pv30Uz766KNehZ3Xr1/P3LlziYiIGLLnE2IgqqqqeOutt/joo4/YuXMnxcXFuFwu4uPjmT9/PpdeeinXXXfdkHzYVVJSwtatW/nyyy/ZunUr27Zt86/Q9tOf/pSf/exnx/0cw03CCiGECMFNN93UY9pIoGVVMzMzueSSS6Q+xTCrrq5G07Reb0JzcnK46KKLiIwc/eUtB81ogUmnqrbyf8DZqEZbdI68qAthdM/RHar95xEwWiF9pRpxMfksSF4MhnH6X78tFubcCGWfqakvxsGtQDAaLBYLV155JU899VSPgpvr168nJSWFnJycUeydOFG1O3wcLlNTOLbmOcgvcVHf5MU7gFWYg4mOMJAzycLUSWamdoyYmJxi7rcQ5/FqbW3ljTfe4NChQ732RUZGcvnll0tQIUbNU089xXe+852AH7hUVlZSWVnJe++9x6OPPsqrr77KvHnzBv1cRUVFZGZmHkdvx4Zx+o5FCCFGTufIi6SkJJYtW4au6xw9erRHvYs5c+awZMmSkFauEMfntNNOY9GiRf7pIq2trcybN49FixZNvCH11mjIuUg1gKYSKF6vRl4Uf6jqX/TF61RLqhZ/BNwPliiYtErVvJh8phrRoY2j31nNoIKcvtTsAYMZ4qaPTJ9CFBcXx2WXXcbf/vY3f9Bmt9sHtDSvEIPV2OIlv8RFfombQyUu8ktclFV7ON7J4JoG6YkmciZZyJlkZmqGGjFx7PKgI6G4uJhXX33V/8lxd1OnTuXSSy8lPDx8RPskRHdVVVV4vV4sFgsXXHAB55xzDjNnziQyMpLDhw/z1FNP8f7775Ofn8/q1avZvn07kyZNGtRzdf9AR9M0pk6dSlpaGps2bRqqlzMipGaFEEIIMR7purox7wwuSjaCp/eInz7ZEyHjjI7w4qzxX6yzvQ52Pamm0yQvgcxz1GiVMeTTTz/lww8/JC0tjSuvvFJGYokhpes6VXVeDpW4OFTaFU5UNxz/ahw2i9ZR8FKNmMjJsJCV1vdKHCNB13U+++wzPvroI3y+nsNCNE3jjDPO4NRTT514YTZSs2K8+c1vfkNVVRU//vGPSUxMDHjMj3/8Y379618DalTv008/Pajnqq2t5cknn2TZsmUsWbKE2NhYNmzYwBlnnAEM3TQQKbAZAgkrhBBCnPC8LijfrIILf72LAY7njszomDJyJmScCZHpw9PX4aD7YM8z0FzStc0WD9MuHVOvQ9d1/vOf/7BgwQLM5vEzlUWMPV6fTmmVpyOUcHUEFG6aWo9/HkdclIGcDIt/xET2JAvpiSaMhrF1w9/W1sYbb7xBfn5+r30RERFcfvnlE2IofDASVkw8LpeLzMxMKioqiI6Opq6ubshG7Y7HsELGHgohhBATgdECGatUW/m/4GiAko/VFJCSjwIv/3ms5hLIW6saQOz0rikjGWeAPX4YX8Bxqt3bM6gAcNTCnr+qqS+TTh0TU140TWPp0qWj3Q0xzrjcOoUVbg4Wu/yjJo6UuXG4ju8zR4MBJieb/YHEpCQjs7NtxEYah6jnw6evaR/Z2dlceumlUp9CDBm3201GRgZVVVWsWbOm13L2x9qzZ4+/2PrDDz/M3XffHdLzWCwWVq5cyauvvkpjYyO1tbVBR2GcCCSsEEIIISYiWwxMu0Q1gJaKrvCieD00FfZ/jfoDqn31BKBB4vyuKSOTTgXLGCpmGj8bprqgcJ0aZdJJ96nX3XAIci4Be9zo9VGIELQ7fP4pHPkd9SWKKtzHXfjSYIDYSAMLp9uYl2MjZ5KZrDQzVsvoh3gDpes677//fq+gQtM0Tj/9dE499VSpISWGlNls5vrrr+eRRx7hgw8+oKysjPT04KP2OqdvmEwmrr/++gE9l9PZtUy30Tj2g8PhJGGFEEIIcSKISIWZ16gG0FjQVXyzeD20VfV9PjpU71Rt269BM0LKMphylhp1kbpidJdJ1TRIXgRRmZD/OrSU9tzfXKLqWWSeB0kLxmRtDl3X+fLLL5k2bRqxsbGj3R0xAlrbVTBxsNhFfrEKJoqrjr/wpdkEcVFG4qONxEUZiYsyEB1hRNNgxVw706dYh+YFDCOn00lDQwPJycm99mmaRk5ODqWlXX/PIyIiuOyyy8jKyhrJbooTyK233sojjzyCz+fjueee47777gt4nNvt5oUXXgDgvPPOIyUlJeTncLvdbN68GYDk5GTi4k7sgF3CCiGEEOJEFJ0Fc29RTdehbl9XcFGyAZwNfZ+ve6Fis2pf/EJNQ0lZroKLjNMhbQWYRmEOtT0O5t4MpZtU6163w+uCw29C/UGY+nUwh418/4Jwu9289dZb7Nq1i5SUFG655RapaTFG+Xw+CgoK2LdvHy6XiwULFpCdnd3veS3tPvKLO4KJEvW19KjnuPtjt2rERRmI6wgm4qOMRIR1jSowGjRiIg3ER6vwIi1xbP5eOZ1OiouL/SttVVRUEBUVxR133BHw+O61KLKysrjssstk2kcQPp+P2tra0e7GiImPjx+WkTW5ubmceuqpfPLJJ6xduzZoWPH2229TXV0NwM033zyg5/jzn/9MTU0NAFdcccXxdXgCkLBCCCGEONFpGsTPUm3h98HnVSMoitareheln/S/0ojXBWWfqPbF/4DRCqknqeAi4wxIXT5y4YVmUM8bk6NGWTjqeu6v26dGWuRcDLE5I9OnPjQ1NfH3v/+diooKACorK/nXv/7FpZdeOiFXMBiPdF2nrKyM3bt3k5eXR0tLi3/frl27yMnJ4eyzz/aPAmhq9XKw2MXuQ04OFrs4Uu6muv74V+RITzQxdZKZdqdOdLgKKGyWrt8Rg0EjtlswER9tJDbSiNE49n6PnE4nJSUlFBYWUlBQQEVFRa/VPBoaGmhoaCAmJqbX+ZMmTSIsLIzly5fLtI9+1NbWkpSUNNrdGDFHjx4dtjoPt956K5988gkHDx7ks88+Y+XKlb2OeeaZZwBISkriggsuCPnaR44c4f777wfUSKFgYciJRMIKIYQQQvRkMELyYtWW3a2CiIotXcU6yzeDz933NbxOKN2o2uafq/AibUXXyIuU5WAa5qHokZNg/u1Q+B5Ubeu5z90C+15QU1kyzwHD6L0lslqteDw9P2HfvXs3aWlprFixYpR6JQCqq6vZvXs3u3fvpr6+3r9d1zVcPjtunw2D5mZrXhsf7/oMY3gOze44quqOf0WO1Hgj86bZmJZhISdDLRkablc35B9saaWi1kNspAosEsZ4MAFqlYPuIyfKy8t7hROBFBQUsHDhwl7bTSYTP/7xj0/4Of1iZF1xxRX813/9F42NjTzzzDO9woqqqireffddAK677jpMptD+b2lra+PSSy+lsbERgN///vekpaUNbefHIQkrhBBCCNE3o0UV1Jx0KvBTcLdC2WddU0aq/tP/Mqlepzq2ZIP63mSDtJNh0ukqwEhZOjzhhdGipnzETIPD/+o9QqQhH1gz9M87AFarlSuvvJKnnnqqR2G1999/n5SUFJmDPwq++uorNm/eTGVlJdAZToTR4oml0Z1Cizsepy8ClzcML5auE1sABhZUaNBjmoYKHQzMzrZx0tzAdWBWzrdjNWtjNpjorq6ujtdffz3kcKI7o9FIc3Nzn/uFGEl2u51rrrmGJ554gldeeYXf/e53hIV1TSl8/vnn/eFzqFNAPB4PV1xxBV999RUA3/nOd7jxxhuHvO/jkYQVQgghhBgYc7gajZB5jvre2QRln3aEER/D0e39hxceR1eBTwCTXYUX/pEXS1XQMFTiZ6iRFoffhPr8ru3pp6mRJKMsISGBSy+9lL///e/+bbqu849//IPbbrst4DB4MXyamls4XNJOg3smTe4kWj2xOL3heDm+QE3T6DFNIy7KSGyUEaMBbBYDdptGmNVAmE0jMTb472WYbfxMeYiIiAg4xSMQo9HIpEmTyMzMJDMzk0mTJkntFjHm3HrrrTzxxBM0Nzfz6quv9ljto3MKyPLly5k1a1a/19J1nRtvvJF33nkHgG984xs8/vjjw9PxcUjCCiGEEEIcH2sUZH9NNQBnowovij+G0g1wdEcI4UW7GqlRvF59bwqD9JUquJi0CpKXHP/IC0sEzLhGjQQpfF99nzgv+PG6T9W/GCHTp0/n9NNPZ8OGDf5tbW1tvPzyy9x8881y0zbEXC4XFosKxFrbvWzf72BnvpODRS5KqibT1JZxXNc3myAh2khMpJG0RBMZyWampJiIDDP2CCXsNgN2q4bRMPZHSXTncrn8NScKCwtZtmwZc+fO7XWcxWIhPT2d4uLiXvuMRiPp6en+cCIjI0N+z4dBfHw8R48eHe1ujJj4+Phhvf6iRYtYuHAhO3bs4JlnnvGHFVu2bGHv3r1A6KMqvve97/G3v/0NUCuHvPDCC1J/pRsJK4QQQggxtKzRkH2+agCOBlV4s2SDakd3AP2szehpg6IPVAM1bSR1BUw6TYUXqcsHt5qHpqlRG1FZ4GoMPqqitQr2/x3ST4GkhSM2+mLVqlVUVFRw4MAB/7aKigreeustLrnkkhEpuKnrOsXFxezbt4+2tjYSEhJIS0sjNTWV8PDwYX/+4eT1etm3/xAbvzjC7kMtpGatoPiokcJyd3+/kX2ymCA+opVpk60sn5dE7mQLU1LNGA34/8yamppoaWkct/PQ3W53j4KYZWVlPUZLJCQkBAwrQK3cUVxcLOHEKDEYDMNWcPJEdeutt/K9732PjRs3UlBQQFZWln9URVhYGFdddVW/17jnnnt44oknADjttNN47bXX5O/DMSSsEEIIIcTwssWouhFTv66+d9SrFUZKPlbhRfVX9B9eODqO/1h9bzCr4piTToOMVWoKiSUy9D6FJagWTOlGtXzrkbdV0JJ+6oiEFpqmcckll/CXv/zFv3wdqBUn0tLSOOmkk4b1+UEVNHzuuecC7ouOjvYHF2lpaaSlpfWYrz3WuD06R8pcfL69gm176ymp1mhxxaAzG4CDO30MtMaE0QBTUszMyrYwK8uqgokUc7/1Iz766CN27tzJ3LlzOeuss8b81J7u4URhYSFlZWV4vcFXNCksLAy6b/78+f5pHZ2jWYQYz6699lruuusu2tvbWbt2Lffeey8vvfQSAJdddhlRUVF9nv+LX/yCX/3qVwAsXbqUt99+G7s9cI2aE5mEFUIIIYQYWbZYyLlQNYD2OijdpKaMlGzoCC/64XND+WeqbX0QNCMkL1I1KDJWqRERttjB9a+1Cmr3dn3vbOwKLSadBokLhjW0sNlsXHXVVUELbmZmZg7bc4P6FDw8PJzW1tZe+xobG2lsbGTfvn3+bZ0BRvcQYzQCDJ9Pp/Sohz2H2thzuJW9BW5Kq3V8ugEwAAMfGm7QICXBRG6GhXnTrMzJtpKZZsY0wMKWlZWV/uJ5u3fvZu/evf4lN8fSDUpZWRkHDhwIKZw4Vn19PY2NjURHR/faFx8fP+xD84UYSdHR0Vx++eU8//zzPPvss+Tk5PhX8uhvCshvf/tbfvKTnwAwd+5c1q1bR2TkAML2E4iEFUIIIYQYXfY4mHaxagDttSq8KPlYfa3eRb8jL3QvVH6p2rb/B2iqHkXntJFJp0JYUmj96R5UdOdshMNvqVEhk04d1tAiISGBSy65xP9JHYDP5/MX3Ax0Qxiq5uZm8vLySEhIICcnp9d+g8HAnDlz2LJlS0jXOzbAWLhwIRdddNGg+xeq6gYP+wtdbN5Ryc4DTdS0ROLxdR9CrXW00MVHG8hMNTMzy8qi6VZmZdmwmI9v6o2u67z//vvoetfvsNfr5fPPP2fHjh2sWrWKpUuXjomVLfbt28enn34a8vEGg6HHtI7xPk1IiIG49dZbef755ykqKuLuu+8GYOrUqaxatSroOc888ww/+tGPAMjNzeWDDz4gLi5uwM99+umns3HjRkCNhhvuEHu0SFghhBBCiLHFHg/TLlEN1MiL8s+gZKOanhHKaiPoaoRG9Vew4/dqU9yMjuCiI8CITA98asbpEJ2pRnk0FfXe72wYkdBixowZrFq1yv+GFKC1tZWXX36Zm266aUBzmx0OB/v27WP37t0UFBSg6zo5OTkBwwpQn/YVFBQQHx9PS0sLlZWVuN3ukJ4rNTU16L4PP/wQm83mH4Fht9txuVy0tLTQ3Nzsb8d+39zq5ewLb+NAkYv9RS72F7qobez81N8EDPTNvk5StJfZU8OYPTWcaRlmJiWbiI0cnrfGU6dOpby8HIfD0WN7e3s769atY8uWLaxevZpZs2YNaV0Sn89HY2MjtbW1/lZTU8NVV10VcDpGZmZmn2GFwWAgLS2NrKwsf80JmdYhTlSnnXYaubm5HDx40L/M8Y033hj07/A///lPvvWtb6HrOlFRUfz2t7+lurqa6urqoM+RlZU16BBw3bp1/n4B7N+/3/94586drF271v99REQEl19++aCeZzhpeveYd5xqamoiOjqaxsbGfucHCSGEEGKcczVD+ecd4cUmqNyqpoUMVHR216iL9FMgJkcV4Oyk69BUqFY1ae69koGfNaZjesj8IQ8tdF3n73//OwcPHvRvs1gs3HDDDaSnBwlbOrjdbvLz89m9ezcHDx7sNaTfYDDw4x//OOAbYV3Xe7zh9vl81NTUUF5eTkVFBeXl5UEDjFtvvZVJkyb12u71ennwwQfxeDw9XovL5epxnE830uKJo9mdQLM7kWZPAu3emD5fa3+MmoNwi5vZmfC101JYODN2xJf/bGtrY9OmTXz55ZdBp1dMmjSJc845h8mTJw/42scGErW1tdTV1fX4eXe6/fbbSUlJ6bXd5XLx0EMP+QtndoYTnSMnJk+eLOHEGOJwOPzFHW0222h354T0q1/9invuuQdQf1+KiooC/vsHKsh49tlnB3T9jz/+mNNPP73X9uXLl7N161bMZjOVlZUBR2d0H33RnylTpvRZdyaYwf4Ohnr/LiMrhBBCCDG+WCIhc41qAO42qNiiRl2UboSKL1RBzv40HlEtT1VwJzxFhRbpp6iCmonzIToL5mRCY4EaaREotHA2wOF/qeAk4wxImj80rxNVcPPSSy/lqaeeora2lvj4eK666qqglf19Ph9Hjhxh9+7d7N+/v0fNi0DH5uXlsWzZsoDP253BYCApKYmkpCQWLFjgP7+6utofXpSXl1NdXU1ycnLA56uuru514+x0umnzxqhgwpNIszuBVk8cOoMPfQy4sBrasJkdRIe5WDDNwsrFk5k1LQn7CAcU3YWFhXHuueeybNky1q9fT15eXq9jSktLefrpp5kxYwZnn3120DoPjY2NfPzxx/5woq2tbUB9qa2tDRhWWCwWFixYQFhYmH/khNV6nEsGCzGBXXfddf6w4uyzzw4aVAwlh8PBzp07Abj++usHNY1kvJCRFUIIIYSYWDxOVbuibJMKEMo+A3fLwK9jiexYLrVj5EXyMmirVLU0mksCn5O6HLLOO77+B1BdXc3GjRu54IILen16pes6paWl7N69m7y8vICFMY9lsViYOXMmS5cuHdI31z6fD4MhcCCwfft2Xn3jA5o8iTS7E2lyJ9LiScCrD/6TeqsZYiMNWI3txEUZSIw1ER1pwWKxkJlm46Q5dsLtoxdQ9KWkpIT333+fkpLAv0uapnHFFVcwc+bMXuFRU1MTv/71rwf93GeeeSannXbaoM8XY4OMrBh9H3zwAeeccw4AL7/8Mt/4xjeG/Tk3bNjAGWecgclk4sCBA2RnZw/7cwYjIyuEEEIIIQbCZIVJp6i2/L/B54GjO7qmjZR9okZD9MfVDEXvqwZqudTkJZC2EuKmgdsBzrqu4w0mFWoMg8TExIDziZubm/nrX/9KQ0NDv9cwGo1MmzaNuXPnkpubO6CaF6HqHlQ4XT7yS9zsK3Syr8DF7kMJ1DZdPehrm4yQk2Fh+mQzMZEmWtp9hFm1jpk7Ef7jbBYDy+fYyEw1D2n9h6GWkZHBzTffzP79+/nggw+oq6vrsV/XdYxGY8DXEBkZGXAKTTA2m82/IkdCQsKo3twIMZE8/fTTgFrxZiQKCwP+qR3XXnvthP+7LGGFEEIIISY2gwlSlqq29C7weaFmj5oyUvaJKpTZVtX/dXxuqNisWqeYaRCRBrY4yLlIjcYIpPQTaK2E8FR1fHgqmI9/ycqIiIg+b8g1TSMrK4s5c+Ywc+bMYVsmU9d1yqo97C1w+cOJw6UuvP3VQQ1C02ByipkZUyyqZVrITrdgNmkUV7r56D+thNt6v+7sdAtLZ9mwW8fmaIpjaZrGzJkzyc3N5T//+Q8bN27sMaWjtrY26Hnx8fFUVFT4txmNRmJjY0lISPAHE53hRFhY2JgOboQYjw4fPsyrr74KwE033TRiU6Y2bdqE0Wjk/vvvH5HnG00SVgghhBDixGIwqroSSfNh0X+pQpoNh7uCi/JPoT4/tGs15KsGcOgN+Ownqt5F59SR+FmgGdT1mouhtludAlsshKd1hReDCDA0TWPu3Lls2rSpx/b09HTmzp3L7NmziYwMEqAch6ZWL/sLXewrVOHE/kIXTa2DTCaApFgjMzItTJ9iZcYUC7mTLUGnb2Qkm0hLMFFe01X/Isxm4KS5diYnD/1okZFgNBpZvnw58+fP59NPP+WLL77A4/FQU1MT9JylS5fidDr9gURMTEzQKThCiKFRVlZGW1sbR44c4Z577sHj8WCz2fzLkY6E9evXj9hzjTYJK4QQQghxYtM0iM1Rbc5Naltrpap10RlgVO8MYblUVC2L/S+qBiqQSF2hpqJEpKlwwthxQ+2oV61HgBHXNfqiM8Qw9T0PuDOsiI+PZ968ecyZMydoYcbB8Hh1jpS52VfgZF+hi70FTkqP9l5hIlRhNo3pUyzMzLQyM9PCjEwr8dGhF9TUNI0V88J4c2MzHq/OtMkWls60YzGP/5EDNpuN1atXs3TpUnbu3InJFPyt+qJFi0awZ0IIUFMvjl1h43//939JS0sbpR5NbBJWCCGEEEIcKzwFci9TDTqWS90MZZ+qACPUFUcc9VDwTrcNmgogoiZDZAZETgZLRLfj61TrHmBknAEZq4I+RWJiIt/97ndJTEwckqH+NQ1qOkfeERVOHCx24XIPrh67pkFWqpkZWRZmZVqZmWVhcooZo6H/fvp8OoYgx0WGGVgx147dZiAtYeK9nY2OjmbVquB/5kKI0RUWFkZubi533HEHN9xww2h3Z8KaeP+6CyGEEEIMNUskZJ6jGoDXBVXbVXBR9qlqjrq+rwGADq3lqlV8oTZZY1RoEZmhWlgSdA8drDHBL1e1HWxxJMWl9jwnRG6PzqFSF3uPOFVAUeDkaJ13wNfpFBtl8IcSMzOtTJ9iIWwQy4VWN3j4/Kt2lsyykZ4YeGrH1EmDX0VECCEGY8OGDaPdhROKhBVCCCGEEANltEDaSaot/T9qikjtvq6RF6WfqBoVoXA2qFazq+PaVoiY1DX6whod+DyPEw6/BXSMerDFd00d8U8h6Vnwra7RS16B0x9OHDiOURMWs8a0DDMzM63MylLTOZLjAq9eESqPV2fHAQd7C1zous7m3e1cdJoJs2n8T/EQQggxMIMKK/7whz/wyCOPUFlZyfz58/n973/PsmXLAh6bl5fHAw88wLZt2ygqKuI3v/kNd9xxR49jfvazn/Hzn/+8x7bp06ezf//+wXRPCCGEEGJkaQZImK3a/G+rbU3FUP65qn1R/hlUfxVa3QuvExoPqwaw9wVIXqiWTE1fqb5GpkNbJf6gAsBRq1rNbgA8Po3DrdnkNWaytzqRveV2KusHf9M/KcnEjEwLs7JUrYnO1TkGzdcxgsOg6lVU1nr4fFc7Ta1dIzta2nxsP+Bg+ezhWcVECCHE2DXgsOLll1/mzjvv5Mknn2T58uU89thjrFmzhgMHDpCUlNTr+La2NrKzs7niiiv6rJI6e/ZsPvzww66O9VFQSAghhBBizIuarNqMq9T3rmao2NIVXlR8obb1ywdV21Tb8buOa0+B2FzQTGr0RXgy9c4w9lYnkVedRF5NEgdrE3B6B/d+ymKChBgTCTEGUhPMTE42ERdtxG41YLdqeLxQetSN3WogzKZhtxr6Dy6K1quAxdWsmrsNNAOuuEVsaz+FA6WBR3gcrfPg9eoYjTK6QgghTiQD/h/s17/+Nd/61re46SZVLfvJJ5/k3//+N08//TT33ntvr+OXLl3K0qVLAQLu93fEZCIlJWWg3RFCCCGEGB8skTBltWqgRhbU7FHBRWeA0VQU0qW8jaUcqY4gz7GYvY5Z5DkXU+GePOiuTU42MSvbyqwsK9V1LkBHM3St0OF061TUuFWtjh7Nqb76nFhwEJ8Ux5qvLQ74HK76YrTmEszGrtElpY3hbM5ro9W3WYUv9jj/PqNBY36uldnZ1pAKcgohhJhYBhRWuFwutm3bxn333effZjAYWL16NZs3bz6ujuTn55OWlobNZmPFihU8+OCDTJ4c+D9dp9OJ0+n0f9/U1HRczy2EEEIIMeIMRkiar9qC76ptzWVq6khngHF0B+heWn0R7HUsJM+xhD2OJexzLKBdj+j7+kGYDF6mxDSzYvlkZmWpehNR4V3BxGefHiR/9z4wh4HRBr5u4UQfXIDbYQ26f091GrsOxWExerGb3ZgNXmrawjv2OtX0lfBkiJlKUrydk+fZiYkMfUlTIYQQE8uAwoqamhq8Xi/Jyck9ticnJx9XfYnly5ezdu1apk+fTkVFBT//+c859dRT2bNnD5GRkb2Of/DBB3vVuBBCCCGEGPci09FzL6cq4RL2hDvZo7WQl99EQbUZnz7wVTUAIg11JJkqSDRVkWhvIibcR2JSLBesTgd771oQCaaj5IOapuFuG9BzhRlag+5r18MBBy6vEZc3cAhhaq9gUfxeZkxbhiFi9oCeWwghxMQyJgpDnHfeef7H8+bNY/ny5UyZMoVXXnmFW265pdfx9913H3feeaf/+6amJjIyMkakr0IIIYQQQ8nj1Tlc6mLPYSd7jqivtY3dlw8NPlrhWEZcJBirOsKJchJNlVgN7V0H+IBmqG8uwPuHmzHG5UDaCkg7GVJXQPwsUsylLEypJyGsjXCzG4fHRJvbTLv/q5k2t2oOj7lH8BCmBa/B0WZOg+gotZKK0QqaEZoKwVEPQFpkMyvSi4m0uuBQMdTtgezz1fQZIYQQJ5wBhRUJCQkYjUaqqqp6bK+qqhrSehMxMTHk5uZy6NChgPutVitWa+j/cQshhBBCjBUtbT7yCpzsOewk77CT/UUuHK7BLR8aEaaRFK2TaGsk0VBKrDsfrbUUfO4+z/NioNEbT1z9Qag/CHnPqh2WSKLDUpgfngqWSWCfBLZjRl9oBhUgmCPAEonLEEU7UbTrkVjDgwcLbcZEiIrruTFxHhZHBUvCNjEtuoIeq57W7YfGQshcA0kL4DiWRBVCCDH+DCissFgsLF68mPXr13PxxRcD4PP5WL9+Pd///veHrFMtLS0cPnyY6667bsiuKYQQQggx0nRdp7zGQ94RF3mHnew54qSwwo0+iGzCZITcyRZmZ1uZM9VKVLiBHQccHXujgAxghVoete0oNJdAcyk0lxDuLiHeWEW86WjH1yrs3UdcdOpcqaMhv2tb5BRIWgipy2HSqZC8FEwW/25LR4vup//nrYig3emjzaH7v2oaZKdNx26YBEf+rQKK7rwOVcMjca5a+UQIIcQJY8D/6t95553ccMMNLFmyhGXLlvHYY4/R2trqXx3k+uuvJz09nQcffBBQRTn37t3rf1xWVsbOnTuJiIggJycHgLvuuouvf/3rTJkyhfLycn76059iNBq5+uqrh+p1CiGEEEIMO69X53CZm92HHOw+rEZP1DX5+j8xAIsZkmJNnL0snAW5VnInW7BauupWNLf5uoUVXcLDTMSnZhAflUl8jJH4KCN2bzWUb4aKzeprVSV4QuxIc5Fqh/+pvjfZIXkxpJ6kAozUkyByUgivR8NiNhIdsC5oJEy/Emr3QsE74O6sfaFBzkVgkKBCCCFONAP+l//KK6+kurqaBx54gMrKShYsWMC6dev8RTeLi4sxGLr+Iy0vL2fhwoX+7x999FEeffRRVq1axYYNGwAoLS3l6quvpra2lsTERE455RS++OILEhMTj/PlCSGEEEIMH4fL9/+z99/hcZ113gf8OedMn1GXLFlykVzk3lscJ3a6E5IFNiHAkieNhG2wlCxLYPdZnocXroe2LGGBiyz7kkKAlxJ2syyQkOoS24kd9y43ualYklWnn/L+cU+TZkYayZJVfH+u61wzc+bMOWdGoznn/p7v7/vj6BmRM3HgZJgjZ8IEw0Mr6cj3KkwqsjGpSKOsyEaBT5xP3bLKQ1WZPW15n1uhKF/D51YpLdCSwoQrUxBnOcz+oJgAjCi07E8RMLbn3DYVPQgX3xZTYmcqoWJNUsCoWAl2b/Z1ZEJRoHQBFNRA/SvQcgAqcxNCJBKJRDLxUCxrKEbEsUVXVxcFBQV0dnaSn58/2rsjkUgkEolkgtLZY3DodJiDJ4Vrou5cBN0Y+HV9URUoLdQoK9KYVKQxqciG05E5k2H5XBeLZ7mucM9zoKcx6bxo2AHN74ERHvh1mVA0KF2Y4r5YA8VzRd5FrrSfhPxpIpAzE5Ee0V51MOuUSCYQoVCIM2fOUFNTg8t1FX4jJJI+DPU7mOv4XXrqJBKJRCKRSLLQ1KYnhIkDp8Kcbew/uDIbTjtMKrYlhIniAg2tnzG226lSWqhRUqAxufQqna75JsPse8UEYESE+6LxXWh8R9x2ZA4/T8MyxGtb9sOBfxfzHPlQsVq4JSpiAoanHxdt0ax+1m/Csf+fuJ31AfAOX9C7RCKRSMYGUqyQSCQSiUQiAUzTor4xysFTSefEpfYh2CaAKZNsLJ4lgjAXzXTy7uEgXf7M2RWpwkRxgUZpgYYnYynHVUZzQMUqMS2LBakHWqFpZ1LAaNoJ4Y7c1hfpgnOviylOwQwhYExeLW4nLRNuiYFofBd6Lor7B34MVTfAlPUy20IikYxpmpub+Z//+R/efPNN9u3bx7lz54hEIpSUlLBkyRLuvfdeHnzwQdxu98Ar6wfTNHn77bd55ZVX2L59O8eOHePy5cu4XC6mTZvG+vXr+eu//msWL148TO9sZJBlIBKJRCKRSK5JorrF8bORmDgR4vDpCN2BwYdhKgqUFWosme1k3RIPi2Y5KcrTei2zZW+A0xcjCWGiOD+ZMeFxKSjjtS2nZUL7iaTzovEdkTVhDU3kSZSPVMTEi4pVIsciVYQIXob9P0pvz+ouEy4LmXEhuUaQZSDji//4j//gb/7mbzCM/n8fZ8+ezYsvvnhFQsK0adM4f/58v8uoqsrnP/95vvGNbwz5GCTLQCQSiUQikUiGgVDE5MiZCAdOhGJhmBEi0cFfs3HaFeZW25leYUfTFNwOBZtNoTBP44YlblQ1/aRvaa2TFXNd41uYyISiQvEcMS14WMyLBqB5txAvmt6Fhneg50Ju60stHzn4H2JevPtIXLwomAHOAgi29n5tsAUO/kSUl0y7JXvWhUQikYwCzc3NGIaBw+Hgnnvu4Y477mDevHnk5eVx6tQp/uM//oNXX32VEydOcNttt7Fnzx6mTBma+NrQ0ADArFmzuO+++1i3bh2VlZUEg0Heeustvvvd79Le3s63vvUtNE3j//2//zecb3XYkM4KiUQikUgkE5JAyEx06dh/IsTxs0MLw8z3qiyaGS/pEO1DD50O096VvrINyz3UVMpBchrdF4VwkSgfeQ/0wNDX5ywWmRY2t+hE4qvq3X3EVQQz3y86i0gkExTprBhffPe736W5uZm///u/z9r18u///u/513/9VwAeffRRnnnmmSFt6/rrr+f//J//wx133JFRID916hRr166lpaUFm83G8ePHmTFjxqC3M9LOCilWSCQSiUQimRB0B0wOnAxx4ESYAyfCnDgfwRzCWU55scaiWU4Wz3KxcKaTaeU2FAXONensOxHKKFLEqZ5s56YVg2zZeS1i6tB6CJp2idyLpp3isTX4MpwEjgIhWviqIK8KvJNFN5LK68FdIup1JJIJhBQrJh6RSITq6moaGxspKCjg8uXLqOrIZBj94Ac/4O/+7u8A+M53vsMTTzwx6HXIMhCJRCKRSCSSDFzuMjgYc00cOBnmTEOUwV6CURSomWxnUUoY5qTi5OmRZVmca9LZfyLE5X5EiqI8jSW1LqZXyFOrnFBtMGmpmBZ/QsyL+qF5b1K8aNoFnadzX2ekEy53wuUjyXnuMiFeFNSIMpLZ90Jx7XC+E4lEcg0QjUaZOnUqzc3NbNy4kVdeeaXf5Q8dOsSiRYsA+OY3v8kXvvCFnLbjcDhYt24dL774Ip2dnbS1tWV1YVwpN998c+L+qVOnRmQbV4o8okokEolEIhkXtLTrsZKOMAdOhDjXrA96HaoCs6c6WDzbyeLZQpzI92ppyw1GpFg820n1ZPvEyqIYDexemHKDmOIEWqF5FzTuTN4GW3JfZ7BFTC374OR/wbZ/hrLFULESymNT6ULQ7MP+diQSycTBbrfz0EMP8e1vf5vXXnuNixcvUlVVlXX5ePmGzWbjoYceGtS2wuFw4r6mpR+fhourtZ0rQYoVEolEIpFIxhyWZdHUZrD/REiIEyfDNLYOXpywaTC32sniWU6WzHayYIZzwLagF1ui7D7av0hRmCe6f0iRYoTxlELNXWICsCzoOpt0XjTtHFz+haXDpT1i4sdinuaE0kXgLoWKNVB9u7jV5GmyRCJJ8vjjj/Ptb38b0zT56U9/ype+9KWMy0WjUX72s58BcNddd1FRUZHzNqLRKDt27ACgvLyc4uLiK9/xLGzevDlxf968eSO2nStB/gpLJBKJRCIZEzS16eyrC7GvLsy+EyEuXR58GqbDrjC/xhETJ1zMq3Hgcgyu3tcftLIKFVKkGGUUBQqqxTTnw2KeqUPb0d75F5f2AznmXxhhaH5P3K9/Bd75Cqh2KJgJ5cthynqYskGUjygjUzsukYwklmX1uoo+0XE6nSPy+1xbW8uNN97I1q1bee6557KKFb///e9paREOsI9//OOD2saPf/xjWltFp6P777//yna4HwKBAE899RQgPq8PfOADI7atK0GKFRKJRCKRSEaF5stJcWL/iRBNbYMXJ9xOhYUznQlxonaaA4f9yk5SZ06xc+CkSk8gOdiNixTTK+wZW5NKRhHVBmWLxLQoNjCIBuHSXiFgNGwXAkZXfe7rNKPQfkxMx34h5tlcULJAhHZW3Rhro1ojgzslY55wOMzvfve70d6Nq8b73//+EQscffzxx9m6dSt1dXVs27aNdevWpS3z7LPPAjBp0iTuueeenNd9+vRp/umf/gkAn8+XVQwZDp588knOnTsHwCc/+UkqKytHbFtXghQrJBKJRCKRXBUuXdbZdyLM/roQ++pCNA5BnPC5FRbNciXKOmZPdaBpgx8sWpaFboDdlv5aTVVYPMvF9gMBCnwaS2ulSDHusLuh6noxrfiMmBfphuY9wkXR9J647TiZ+zr1EDTvFtO+H4p5jjwoXQxV66B8BUxaDoUzpYAhkUxQ7r//fj796U/T2dnJs88+myZWNDc38/LLLwPw4IMPYrPlNtwOBALce++9dHZ2AvD9739/xASEn//85/zgBz8ARPnH1772tRHZznAgxQqJRCKRSCQjQkuHzv66sHBPnAjT0DL4zIkCn8qS2aKN6JLZTqor7WhXKBqEIiY7DgRRVYUNyz0Zl5k5xY7D7mVauU2KFBMFRx5M3SCmOKF2IT6c/G/hwmg/DuGO3NcZ6YaGbWKK4yyASctg0gpwFUP+NCiZJ1qrOvLA4QObRwoaEsk4xO1287GPfYwf/ehH/PrXv+bf/u3f8HiSx5EXXngBXRfHulxLQHRd5/7772f//v0A/M3f/A2PPPLIsO87wKZNm3jssccAKC4u5re//S1ut3tEtjUcSLFCIpFIJBLJsNDaobP/hBAn9p8Ic+HS4MWJfK/K0lpR0rG0dvizIS5eirLtQJBAyERRFBZ3GxTlpaega6pC9WTZIWLC4yqC6beJCUSA5+VjcPZVuLgD2g5C1zmI9uS+znAnnN8kpjiqA7wV4J0MvkrImwL501MEjJiIYc9LeZwvHCISiWRM8fjjj/OjH/2I7u5uXnzxxV7dPuIlIGvWrGH+/PkDrsuyLB555BH++Mc/AvDhD3844XoYbt577z3e//73Ew6H8fl8/PGPfxyzwZpxpFghkUgkEolkSFzuNNh3IhaIWRcasjixZHZvcWIknAy6YbH7WIijZ5Ihc5ZlceBEOKu7QnINoijCBVEyD5Z/RogXwTbRNvX8JlFG0lUPPRdBD+a+XjMC3efEFEe1g6cCfJOTIoa7NBniWbYUZn9w2N6a5NrF6XTy/ve/f7R346rhdDpHdP3Lly9n2bJl7N27l2effTYhVrz77rscOXIEyN1V8clPfpKf//zngOgc8rOf/QxVHf4g38OHD3PnnXfS3d2N0+nkpZdeYs2aNcO+neFGihUSiUQikUhyojtgsr8uxJ7jIfbWhTnbGB30OvI8KotnO1k628nSWhc1lSOfBdHWabB1X4CO7vSMjMY2nahuZcyukEhQlN7tUy0Lgq3QeUZkXrQcEMt1nRXlJMGW3NdtRqHnvJgS27OBtxy8lRDpEQGeJfNB6+PyubBVuD28lTGRo0R2KpFkRVGUEQucvFZ5/PHH+eQnP8nmzZs5c+YMNTU1CVeFx+Phox/96IDrePLJJ/nRj34EwPr16/ntb3+L3T78jr5Tp05x++2309bWhs1m41e/+hW33nrrsG9nJJBihUQikUgkkowEwyaHToXZezzEnuNhTpyPYFmDW4fPrbBktosltU6WznYxo+rqBVWapsWRMxH2Hg9hmOk7XlVmZ90StxQqJLmjKOApE9Pk1b2fsyzhuIiHcDa/Bw07BpeBYeliHT0XhZtj93dAc0DJwlgOxjLRTrX5PVFuEkdzxFwalSkuDSlgSCQjxQMPPMDnP/95gsEgzz33HF/84hf55S9/CcB9991Hfn5+v6//2te+xre+9S0AVq1axe9///sRyY64cOECt912G42NjaiqyvPPPz9m25RmQooVEolEIpFIAIjqFkfOCHFib12Yo2fC6INs2OF1i04aS2uFc2JG1ZUHYg6FnoDJ2/sDNLWll6ZomsLKeS7mTncMax6G5BpHUUQWRd4UmJUyGOhpiHUhSREx/I25r9eIwKU9YkrFVSKEiXgWRqizd5lJqoARFzGkgCGRDAsFBQV86EMf4oUXXuD5559n1qxZiU4eA5WAfO973+Of//mfAVi0aBGvvPIKeXl5w76Ply5d4rbbbqO+vh6Ap59+mo997GPDvp2RRLGswV4jGXt0dXVRUFBAZ2fngCqWRCKRSCQSgWFanDwfYc9xIVAcPBkmHB3caYHXpbBolhAmlta6mDlldMSJVE5diPDuoSARPf29lBRo3LjUQ2GGUE2J5KrhbxbiQ0LA2NNbaBgqjvzeAoZ3sgjrjItymgOq74LyZVe+LcmoEwqFEiUIsszj6rNlyxY2bBDdhSoqKmhqamLmzJmcOHEiqxD+7LPP8thjj2FZFrW1tWzZsoXy8vJBb/umm25i8+bNAJw5c4bq6upez3d0dHDzzTezb98+AL773e/y2c9+dtDbGYihfgdzHb9LZ4VEIpFIJNcIlmVR3xhlb0yc2HcihD84OHHCYVdYNNPJslony+a6qJ3qQNPGhjshHDF593CI0xcjac8pisLCmU6W1jpHXUyRSPCWJ3Mw4gRaYgJGiojRVT+49Ua6xNR+PDnP5u4tYExaDpYpHRYSyRWyfv16amtrqauro6mpCYBHHnkkq1Dx0ksv8YlPfALLssjPz+d73/seLS0ttLRkz7qpqanB6/UOar/C4TB33313Qqh44IEHuO222zh06FDW13i9Xmpqaga1nauBFCskEolEIpnANLTqoqzjeIi9dSHau8xBvV5TYW61g+VzXCyb42J+jROHfewN9lvadTbtCeAPpr8/n0flhiUeKkrkaY9kDOMpg+qNYooTaodL++DS3lgpyF7RWtUaxP+xHoTO02ICOPFbsPugbEksB2OpuF+6EGzy6rxEMhgee+wxnnzySQBUVeWRRx7JuuxLL72EYYjayq6uLu66666sy8Z56623uOmmm9LmB4OiG5Hdbk9zJjQ2NrJ9+/bE45///OeJjiPZ2LBhA5s2bRpwf6428qgtkUgkEskEorPHYO/xEO8dC7HnWIimtsGFTigKzJxiZ1mtECcWz3LicY39K7AOu0I4ku4SmTnFwZoF7jEpsEgkA+Iqgmk3iylONACtB2MCxl7hxGg9CEY4+3r6Eu2Bhm1iSqCCrwoq10DFatE6ddIS8EwarncjkUw4HnzwwYRYcfvttzNlypQR32YoFEq4Jh566CGKi4tHfJujhRQrJBKJRCIZx4QjJgdPhdlzTAgUJ88Pvp3o1HJbwjmxZLaTAt/4y3Mo8GmsXuBm+4EAIMSLtYvc1FQ6RnnPJJJhxu6ByWvEFMeICsdFXMCIT5GuQazYFG1U685D3YvJ2d7JMffF0pgbYykUzgJ1/P1OSCTDTWppxUDBms899xzPPffcFW/znXfeIRKJYLPZ+Md//Me056urq5kAsZSAFCskEolEIhlXGKbFqQtR3jsaZM+xEAdPhYmmN7zol0lFGsvmuFg+x8XSOU7KCifG6cDsqXbON9sxDIt1Szx43WPfESKRDAuaHcoWiWnBQ2KeZULnmXQBw980uHX7G+FMI5x5OTnP5oltb2lKGckicPiG6x1JJOOCZ555BoCSkpKr1hI0Hqz5wAMPMGPGjKuyzdFiYpydSCQSiUQygWlo1YVz4miQfXVhuvyDy50o9Kksizknls1xUllqG7ctO/1BE6dDwZYh1FNRFNYv82DTGLfvTyIZNhQVCmeKqfZDyfk9jUnhomUftOyH9hODW7cegMZ3xZTcIBTNTrov4k4MX2WyG4lEMoE4deoUL74oXEiPPvooTqfzqmx3y5YtaJrGP/3TP12V7Y0mUqyQSCQSiWSM0dljsLdOlHbsPhqkcZC5Ey6HwuLZTlbMFe6Jmko76gTogHGmIcI7h0LMrLKzeoE74zJ22/h/nxLJiOKbLKYZ70vOC7bCwWfhwibhvPA3QeASWIOxbVnQXiemut8kZ7tKoGxxbFoibovngz3z/7BEMpa5ePEigUCA06dP8+STT6LrOi6Xi8997nNXbR/eeOONq7at0UaKFRKJRCKRjDKRqMXBU2F2x0IxT5yPMJhyU1WJdeyY62LFHBfzxmjHjqESiVq8ezjIqQuiJemRM2GqJtmoKrOP8p5JJBMEdyms/geYcz+c+h2ELosykuBlCMTFi2YItYkOJYMh1Abn3xJTHEWFotqkeFEaEzLypkgXhmRM88ADDyTKMOJ89atfpbKycpT2aGIjxQqJRCKRSK4ylmVx+mKUXUdC7I7lTkSigwvDmjLJxop5QpxYWuvC55mY+QxNbTpv7w/QE+hd+rJtf5D3r9dwOSbm+5ZIRoWCaljyN0JYaNgBnlIxlS5MLqM5IG8a9DSIEpKWfYNvp2qZ4jWXj8HxXyXnOwt7ixdli6F0Adi9w/QGJZLhwePxUFtby2c/+1kefvjh0d6dCYsUKyQSiUQiuQpc7jLYfTTErqNBdh8L0d41+NyJ5XNdrJgnSjvKiyfWIdw0LUIRi0DIJBC2CIZMLneZ1J2LZEw1n1RsQ15/lUhGAM0O1XdAyQI49d+iHCQVIwIdp2DyaljxWSFeRIPQdhgu7UvmYLTsh0j34LYd7oALW8SUIJ6F0UfEyJ8uXRiSq86mTZtGexeuKSbWmY5EIpFIJGOESNTi0Okw7x0J8t7RECcvDK6lqNOusGS2UwgUc8dv7oRpWliAlmHfI1GLP73TQyAkhIpcWq05bAprFrqZUWWXIZoSyUiSVwWL/xIubIWLW/s4JywRrtleB4v/WuRPVKwUU2IRE7rOwqX90HoAWg4IAaPjlHh9zqRmYaS0VHXkiw4kZYvEbXxyFV7Z+5ZIJGMGKVZIJBKJRDIMWJbFuSad944KcWL/iTChSO4n5KoCc6Y7EuLE/HGQOxGOmPQEhRsiGI65IlLuB8MWwbDFTcs9TJ+cni9ht0FHt4lh5vY5lZfYuHGJZ8KWvEgkYw7VBtNuhpL5wmXR09D7+YKZYMvSAUFRoaBGTLM/mJwf6REujJb9MQHjgBAzwp2D27dIFzRsE1MqvikpAsZCcVs8L/t+SiSSMYsUKyQSiUQiGSJdfoM9x5PuiUvtg+vaMbnUxsp5LlbOE7kTeWN0EG4YFhcu6XT6Dbp6TLr8YgpFcitlCYQzL6coCi6ngj/Yv1ihqQrL5riYX+MYl+4SiWTc4y2HRY+LHIvzb4Gpg7MApt8++HU5fDB5jZjiWBZ0n0uKF3Eho+PE4LIwAHouiOnMy8l5iiYCPfs6MQqqhagikUjGJFKskEgkEokkRwzD4mh9hF0xceL42Qg5mgIA8LgUltW6WDlfCBRjpZuFZVn4QxYOm5LRzWFa8NZu/5DXHwxl/5A8LhV/MDkYUVUFt1PB7VTxuBTyPCqzpzoozNOGvH2JRDIMKCpUrYPiuaJjSNUNw+dWUBSRQZE/HWb+WXJ+NABtR5LiRWtMyBhsRxLLgMtHxVT36+R8uzfpvkh1YnjKhud9SSSSK0KKFRKJRCKR9ENjq54QJ/YeD+HvZ+DdF0WB2mkOVsXEifk1Tmza6DkDwpGkK6LTb9LVY9DpN+n2m+iGxQ1LPMya6kh7nd2m4HX3FhUGQyCU/XXL5rgwTQuPU8XtUnA5FJlFIZGMZdwlsOCR/sMtL+0TbobShVcWgmn3ZMjCsKDnYkzAOAitsenyMTAHlw1E1C+yNxrf7T3fU550YZQsFB1JSuaDI2/o70UikQwaKVZIJBKJRJJCKGKy/0SYnYeD7DoS4sIlfVCvLy3UWBUr7Vg+10WBb3QcAaZpUd8YpbFVT4gToSzlGHE6/dmfL/BmFiv6OiHcThWPU8HtEo89ThWvO/tgpbJUnopIJOOO/gSIUAec+aPoGtJ6CGbeM7yDfEWBvClimnF3cr4RFSGccfEiLmR01Q9+G4FmONcM517vPT+/OiZcLEzeFs8VAaMSiWTYkWcIEolEIrmmsSyL85f0hDix/0SYSDR390S8a4co7XAzvcI26s6ALr/B1n1BWtoHJ7R09WTP3CgrsmEB+V6NfK9KvlelwKfic6syR0IikQgsC07/XggVAO3HYd95mH0vFM0a2W1rdiEglC4APpqcH+4SgZ6pAkbrQQhdHvw2uurFdPoPyXmKCoUzewsYpQtERoaW7lSTSCS5I8UKiUQikVxzBEMme+tC7DwcYteRII1tgwvGnFFlF+6J+W4WzRw7XTssy+LkhSg7DweJ6oNpDSjor8Rl2RzXleyaRCK5Fuiqh46TvefpATj6M6i6UXQWudqBls58qFwrpjiWBf7GpIDRdkjcXj4Cemhw67dMaD8hppP/lZyv2qBoDpQsiGVhxISMwpmgygweiSQXpFghkUgkkgmPZYmSiLg4cfBUmOggTAeFPjXRtWPFPDclBWPzRNMw4cCJUL9Chaoq+NzCFSHcEUmnhNs5NkQXiUQyTimogTkfFs6DaJ9Q3otbRceP2g+NfvaDooCvUkzVG5PzTUOILakiRuvhoXUlMXXh6Gg73DvUU3OKVqpx8aJkvrifXy1FDImkD1KskEgkEsmExB802X1MiBO7jgyuraiqwoIaJ6sXuFg1382sKfZxUepg0xRuWOrhlR1+LEsIFvlejdppDvJ9KgVeFZ9HRRsH70UikYxTSuaLgfep34nQy1S6zsL+p0VZSOHMUdm9flE1KJ4jptoPJefrIbh8PCZexASMtkPQeWbw2zDC0LJPTKnYXFA0NxnmWRwTMQpmSBFDcs0ixQqJRCKRTAgsy+L0xSjvxrInDp0KYwziQlhJgcbq+S5WL3CzYq4Ln+cqW5WHifJiG4tmOTlwIsTsaQ5Wz3djt0lxQiKRXEXsHpjzEWh8B86+1tuVEPXDkZ/BlPUwdcPVLwsZCjYXTFoiplQiPaIdaqqA0XoYei4Mfht6KLOIoTmFeFISEzFK5ov7Y1HskUiGGSlWSCQSiWTc0h0Q7ol4OGZbZ+7uCU2FRTOdrF7gZtV8FzOq7KMejDkYLMvKur9LZjupKLHJThsSiWT0UBSRE5E3Fep+A+HOlCctuLBZOC1q7xv9spCh4vBBxSoxpRLqgLYjSSdG22FxG7g0+G0YYWg5IKZUNAeUb4A5/xv8XsAHNrcQN8aDACSR5IA8i5FIJBLJuCGePfHOoRDvHApy+HQYcxDuiUlFGqsXuFk938WyOS687vF3QmeaFodOh2luM7httSejYKGpihQqJBLJ2CBvCiz+azj5kugOkkpXPez/91hZyIzR2LuRwVUIVdeLKZVAS0y4SHFhtB0eWmcSIwIddRANCBEkGhNCFEUIFjZ3TLxwCWeIzSVFDMm4Q57JSCQSiWRME4qY7D0e5p1DQd49HOTS5dzdE3YbLJ7lYlWsvGMstBW9EnoCJlv3BWi+LNJBD5+OsHCmc5T3SiKRSAbA7oa5H4WGHXDu9T5lIT2iW8jyz4CzYPT28WrgKQPPTTD1puQ8y4Jgi3BitB4Wt5dj94Mtg9+GZYmSEj0EtPd+TnPGhAu3uI0LGeoQhoTxv6EUQDJjWYAlP58rRIoVEolEIhlzNLXpvHMoyDuHguyrCxOJ5t6Gc3JJzD2xwM3S2U7crvF/opDI4zgUJJLS6WPv8RCVpTaKx2h3EolEIkmgKMJpEC8LiXQln5uyYeILFdlQFPBMElOqiAHCiXH5aG8Ro+0I+JuGti0jLKZeJTmAas8iYtjF/qVi6iKrQw+IxzYX2H2iLOVax7LE5xsNgBFrgavahEhk94GqsXnzZrZv387OnTupq6ujtbWV9vZ23G4306ZN44YbbuDxxx9nxYoVV7w7ly5dYufOnezcuZNdu3axa9cu2traAHj44Yd57rnnrngbI40UKyQSiUQy6uiGxaFTMffEoSBnm3LvK2q3wbLapHtiyqTx7Z7oSzhisuNQiPqGSNpzpgWX2nUpVkgkkvFD/lRY8tdw8r+g/YTodjHlxtHeq7GJp0xMU9b3nh9sg7aj0HYKzDywe0GLgBEd2nbMKESiEOnuPV/VYsJFTMRQHSIgVVWB2HE27uJQ7SLDQ3OlCxwTHdMQ4k00AFYf96epiymWy/LAAw9w8eLFtFVEo1EOHTrEoUOH+Pd//3c+9alP8dRTT6GqQ7/gUl5ePuTXjhWkWCGRSCSSUaG922Dn4SDvHArx3tEg/mDu7olJxRrXLXBz3UI3S+c4cTnGv3siEw2tOm/vCxAIpQdz5HlUbljqobxYHsolEsk4w+6BuR+DxnehdOHYssrrIeg4CR2nxMCzdBEUzhpbA3B3CUy5AUpXwpkzUFgDLpcYFOsh0IPi1ojfpovdOWEaYPqFQNEX1SYECtUWm6JiO6pNiBY299j6uw43mVwU2VDtic/C6/WyceNG1q5dy+zZs5k8qYR8r4umljZ2vrePf//xj2lubub73/8+Ho+Hb3zjG8Oyu9OmTWPu3Lm8+uqrw7K+q4U8w5FIJBLJVcE0LU6cjyTCMevORURJZw6oKiyc4WTNQjfXLXRRPXl8de4YLIZhsed4iMOnwxmfnzXFweoFbhz2ifsZSCSSCY6iQOV1/S/TdkwEdDp8I7svwcsi/LO9TnQoSc3UaDkAi/8KfJNHdh+Gg7hQ0PfzMg0xoI67IBIiRpicD8R9iTsG+qJoSSHD7hHlPTZ35pKS8Uh/LopsaMlsqcOHD2OzpQzBQx2xkprZ3H3LdXz6Ex9j9Ya7OH2mnu985zv8wz/8AyUlJUPa1S9/+cusWrWKVatWUV5eTn19PTU1NUNa12ghxQqJRCKRjBj+oMl7R0O8e1iEY7Z35d66o8Cnsnq+i+sWulk5302eZwJfoUnhcpfB1r0B2rvTT4KcDpW1i9xUT7aPwp5JJBLJVaSnQWRb2D0w+z4oqB6+dVsmdJ+Hy3VCpAi2Zl82b9r4ECr6Q9VA9YpykVQsUwgWcRFDD4rJCA1dxLAMMIyY66An2a5VUdMzMWyu8dNq1YiVyQzkooCkUKPahNskRazoJVSA+JxSKCnK5xMP/wVf+r9fR9d13tn8J+6++26xDtURK8HJja985Ss5LztWkWKFRCKRSIaVxladHQeD7DgYZP+JEHruzTuYPdXOdQtFeUftdAeaOgGuwuSIZVkcORNhz7EQhpl+klhZZueGJW48EyAwVCKRSPpFDwmhwjLEAPHw8zDtZqi6cehX5/WwKO9orxNZGfGAyIGovD77c6Y+tE4aY4WEgODuE5xpiUBISJaU6CExUM/kpsgFyxTlJJlKSmzOpIDRKyNj7Hy20WiUqdVzab7UwsbbbuKV//p5nyUUsd92D6h2Dh0+zKJFiwD45je/yRe+8IX0lZpGRndGXl7SGRMK+nt/bqpdhJlqTnE7HoSeK2BI34Af/vCHfPvb36apqYklS5bw/e9/n9WrV2dc9vDhw3z5y19m9+7dnD17lu9+97t89rOfvaJ1SiQSiWTsYJgWR89EEgJFfWPuAV9up8LKeS7WLHCzeoGL0sKxc2JyNQlHTDbtCdDYmn4SqGkKK+e6mFvtmNClLxKJRJLg7GsQSm27acG5N0WJxux70x0CA67vDWjYnrttX9HAVSwGhMVzMi9jWXDgP0R+xOS1Ijh0PGLqwgERTRVvFCFOeCb17tJiWWJ5IzUXI3RluRgghCQ9U5cSW0y86CtmXH03ht3l4aEHPsK3v/sDXntzCxcbGqmqnCz20e5Ny+h45plnAOGkeOihh7Kv2JEX69IiPj/TNPn1f/5P4um5tbN6L29GxRT1i227yyZGeU0WBn1W+Ktf/YonnniCp59+mjVr1vDUU0+xceNGjh8/zqRJk9KWDwQCzJgxg/vvv5/Pfe5zw7JOiUQikYwugZAo79hxULQX7ezJvbxjarmNNbFwzEWznNhtE/cgmyt2m0IGMwXF+Ro3LvNQlCe7fUgkkmuIabdAuEOEXKbScQr2Pw21H4L86bmvz5E3sFBh90JRrZgKZw7cirPjFASaxdR2RLRkrbxeiBvj4Wq3aUC0u49IkYJlCEHC7knOUxTQ7GKKdbfotb5ESUlACCB6OObEuJJcjB6xrr5ozgwiRpZ2qzltK/Z+FSWrGPb4Y4/z7e/+ANM0+emv/psv/eP/zri9aDTKz372MwDuuusuKioqMm9T1cCRh2F4aGpsZO/uXfzLv/4rW7a9A8BtN9/IgnlZxDIQ+zmBhQoAxbIGV5C0Zs0aVq1axQ9+8ANAqD9Tp07l7/7u7/jiF7/Y72urq6v57Gc/m+asuJJ1AnR1dVFQUEBnZyf5+fmDeTsSiUQiyZGmtt7lHdEcnaB2GyyZLbIn1ixwUTVp/Oct1J2LcL55aC3iXE6FdYs9afN7Aia/29JNRLdQFIUFMxwsq3WhaRP7REQikUgyYllwcSuce4u0wa6iwtSboeoGcUW68xR0noGauzILBaEO2PNU+nxPuRAniueAr2pwA7/DP4XO0+nzXcVQuRbKlopB/QgSCoU4c+YMNTU1uFyurMtZpkWoLSbWmEasrGCAMhi7RwyG1SsQy01DbCfaI5wHRhTMkBAxjPDQW632h6LiKnOiOPqIGJor/b1Ylvj+6H4hsoBw1XgmZf4uWBbr19/A1re3U1tby/HjxzPuwn/9139x7733Ju5/8IMfzLyr/Xzfli9fzv+89CKV5aW9nBep7xNPefbvrGWlPZcasPnwww/z3HPPZd1+ruT6HexLruP3QTkrIpEIu3fv5ktf+lJinqqq3HbbbezYsWMwq7qidYbDYcLhZBhJV1fXkLYtkUgkkuyYpsXxsxG2HxACxemG3E8qCn0qaxa6WbvIzcp5rnGXsxCJWv122ujsMYYsVuR7M5/4+TziM9tzPMSNSz1UlFybJTESiUQCiIHWlPUi4PLEb0V2RRzLhHNvwKV9woERd02ULs5cjuEqFAO7YKsI6iyaI0QKV+HQ9i3SAz0XMz8Xugyn/yDKVipWQcXqke9mMgChNoNnJh0b5Ks6hnkv+pR4oMWm4efjB4O4S4PpT6i2WN6DQzgiLEsM+hUtObC3Yg4RW4aBt6Lw+Cf+iq1vb6euro5t27axbt26tMWeffZZACZNmsQ999wzqH33eDx85zvf4dFHH8XpjAdz5sVKcCJCtDDCsWDSLOcpRkR8D+1esHkHFco51hjUmVBrayuGYVBeXt5rfnl5OceODfYfYOjr/PrXvz4h0k0lEolkrBEMm+yOl3cMsntHTaWdtYuEQDG3evyGY7Z1Gryxy8/iWU7mVjsHfsEwMqPKzrQKuyyNkUgkkjgF1aJ16In/THcyhNp6P26vy54dUfshcOSL0oErxeGDFZ+D5j3Q+A5EMlw41YNwYQtc3AZlS4TbwlN25dseLKYBYXlhF0i2W83kKlE1UGzJDh7xzBLN0UsUuP/++/n0pz9NZ2cnzz77bJpY0dzczMsvvwzAgw8+mN79I4WDBw8CYBgGzc3NvPXWWzz99NN8/vOf5/jx43zrW9/Cbo+5cxQltj9OIC/rOgHhnLFMIfBFepIumXHIuLxs86UvfYknnngi8birq4upU8dpqI1EIpGMMpcu6+w4JNwTe4/nXt5h00R5R1ygmFw6Lg8pvTjXFGXL3gC6YbHzSIg8j3pVy1YURcE+/j9GiUQiGV4cPpj/v+DCVji/iawZCO3HYfqtmZ8bbqHA5oKq62HyGpFZ0bAd/I3py1kGXNojpqLZItciv/rqZA1YlhB0olcQfnmtYBpAvOWqP9nONi4SxEpJ3JqTj33kQ/zoxz/h17/+Nf/2b/+Gx5Ms7XzhhRfQdXEi9fGPf7zfTS5cuLDX4zvuuIO//du/ZcOGDTz11FMcPnyYl19+GU0bhAPF1IVQlsBKdhMJd+S+njHCoE6JSktL0TSN5ubmXvObm5uzB4eMwDqdTmeKLUYikUgkg8GyLE5diLLtQJBtBwKcPJ97OUO+V2XNAhdrF3tYNc+F1z1+rYWpxNuGvnc0RDzKyTQtNu8JcNc6X1rA5ZRJdtzOob33/spLJBKJRJIFRYWpGyB/GtT9tnfooqKJwM3iORlr9UcUVYOyRVC6ELrqhWjRfiLzsu0nxDTnw1Ayv/dzliW6YaRa/TPdmpFYcGUEohYYMyDYBlox2N2916kosRakl0finY9d8qaAo1N8XpYeEyKGiGUlW7fGePy+m/jRj39Cd3c3Lz73PR762IdjYoaTZ5/5CSAyGefPn59trVmZOnUqP/zhD3nf+97Ha6+9xk9+8hP+8i//MvcV6OHcnjONq/+/MgQGJVY4HA5WrFjBG2+8kQgKMU2TN954g0996lND2oGRWKdEIpFIemMYFgdOhtm2P8C2A0GaL+d+4J5eYUu4J+bPcI7b8o5sGKbFzsMhjp9NP8AXF2h4nOnvd3KpbUI4SSQSiWTcUVADS/8GGt8VA8j86VA4a3jKO64ERRH7VlADgRZo2AEt+9O7kNh9Ii8jE3u+x6A6Zyg+cE+LDTyzHNdtblylNj5+ujC2fXcsOHOMHcNMM9ZFJCBKGHLB5gZXQdpsV4kGYVvvUErLFK4DSwdDj7UA1XNvZ5vC8sVzWbZwDnsPHefZn/+Wh+69HYB39xziyFERY/DxD90ObUeTHUs0Z7Lt6gCf/R133IHb7SYYDPLiiy8OTqxweEWwa9Tfx2HRByMMgUvCtdSn7epYYtDf0ieeeIKHH36YlStXsnr1ap566in8fj+PPvooAA899BBVVVV8/etfB0SA5pEjRxL3L168yL59+/D5fMyaNSundUokEolk8ARDJruOhnh7f4B3D4XoDuR28NdUWDzbmRAoqsrGf/eObESiFpv2BGhoSXeXzJriYO1i94QTZyQTAyNs0rg9QKTLxFNhI7/agXuS1m+6vGT8EPWbNO8MYIQsihc6yZs6QBvNaw27V7Q3Hat4ymDW+8U+Nu2Epl3JgePkNZkHq4oi8hGMfq6M90sWkUNRUFwFuCeHxcB0rIkUvXCAVSA+Kz0gRBhFjV39V2IDakU8VlQRkpktE8JVHLuj9O8eMPVky9XEbaxjST9CxuMPfIBPfulbbN6xhzPnLlIzrYpnf/k/AHjcLj76gVuT5Rd9UW29W6/GsyhsLlBtaJpGUVERwWCQs2fP5vTJ9SIeImrmpXR+yfD9sAzh5ol0iSDOK+3+MgIM+tv6kY98hJaWFr785S/T1NTE0qVLeeWVVxIBmefOnUNNSRxtaGhg2bJlicf/8i//wr/8y7+wYcMGNm3alNM6JRKJRJIblzsNth8Msv1AgN3Hcs+fyPOorF4g8idWz3fj84xNhX046QmYvLHLT3t3+snI8rkuFs10yoGfZEyiB02O/bSDQGNvkc3mUcmrdpBfbaew1omzcGyddMYxDYtgs06gSfxA5VXbcRWP5QHU1aXrTIRTv+0i2iN+m5rfDVA0z8XU27y4ZJeg8YXDJwSLqhuEy6J5N5SvzL78lYgV/bkR7O70EpGxiqLEAiHTW3wPbj05nseosVDNvgGUlhUTMkIZxIwwD9x7F5//yvcIhsI896vf88VPPcwv//tVAO67+xby8/rpAJMI+swkZGhEDJXWVpGZ4fO4REimFnNkDOa8RLWBswAceUKwyPaZWJYoq9ID/bdDHQWG9Iv3qU99KmuJRlyAiFNdXZ2o/x3qOiUSiUSSnXPNUbbtD7Jtf4Cj9RFy+MkFYHKJxvVLPKxb7GbRTCeaNnYOTiNNS7vOG+8FCIV7n9xpmsINS9zUVMqrmJKxSTahAkAPmLQfCdF+JITmUseEWGEaFsFLOv4GnUBjVNw261hG8odq0ko31ffkj+Jejg0s06Jha4CLm/z0/SFvPxqi43iYspVuqjZ4sXsnvqA8odAcsTamqwZYzgl0x1prOpLdKLTU+ym3phO63WIwarvCwb2kN4oiyik0O2ndNyyLgtIoH7r3z3nhF7/k+RdfYdbsWjq7RI7Kx//i/UPfrmnw37//E5GIKGFZVDsVLsc6ZKpa73ISLcWZ0Z+QoahCOHOX9r9tm3tMCRUwTruBSCQSybWMaVocrY8k8ifON+donwBmT7VzwxIP1y92M6PKfk06B840RHh7fxDD6D0YcDlVbl3poaxIHholY5P+hIq+5FdnLt8yIiat+0LkVTtwlw1v2UhcmAg06vgbMgsTmShe5Bq2fRivRP0mp/+zk85T2bs2WKbFpZ0B2vaHmHyDh/LrPGgysHdisfgvY4POHMWoUAgCZ4RrQpu4JZtjjljJzuN/9Te88ItfcvbcBb7wlX8FYObMmWz4s4diQagxN0bMkfH6W1uonlrJrJrsXSyPHD/Np//3vyQeP3T/3cknTQNMkevxyGf+L8//+g8AvPXbp7lp3arMpSWp7VdTf+/jz6U6ecZge1N5RiaRSCTjgEjUYs+xENsOBNh+MEh7V+75E0trXaxb4ub6RW4mXcNWa8uyOHgqzJ5jobTnCvM0blvlvSbKXyTjEz1ocvyFDKUfXhXNrhDuSJYzOYttOPIzuyp6zkc5+8fuxGvzqx3kVdvJr3bgKh2aeNF9PsK5V3oINuuY+iDCAQFHgUbetMyDrGjApP5/uile6KSw1jlhB+ZdZyOcerGLaIaSNEVT0sQeI2xy4Y0eLu0KMvND+eRNk06wCYMm/5bjifXr11NbW0tdXR1NTU0APPLIIyh2N+AWJRgpvH34Re782Ge49eYNbLx1A4vnzaKk0IseCXD27Dle3fQOL/z2ZUIhISB8/C/ezy03DODGiWOZsayPZKjm2+/u42T9eUAB1UZre7KDzsmTJ3juF78VAoYRBSwe+cQnr+TjGBGu3bNWiUQiGeP0BEx2HBTtRXceCREK5zYIcDsV1ixws26JmzULro38iVx491CIYxk6flSW2blpuUe2FJWMWfSQECr8Db2FCke+xtyHC3GV2Ah3GHTVR+iuj+LIz/4/31WfXIfuN7l8OMTlw0LAyyZemIZFsEXHXWpDtaX/n2gOFf/F3Fsgx7HnaZQucWUVSNqPhGk/GqL9aAjVoVA8z0XxIif5NQ7UCVS2ZhkQ7ektQCuqQtUtXiatcNP4doDmdwNpQpAeNMdEqY9Eci3z2GOP8eSTTwKgqiqPPPJI9oUVBcMwePX1N3n19TezLqZpGk988nG+/s+fBWIBoH1Kw4Kh5PlMSVF6RxSA/+8vXkq4L/qybce7bNvxbq95j3z47hR3hjNZXjKKSLFCIpFIxhCXOw22HQjw9v4ge46FMHLs3lVSoHH9IiFQLK11yYF3BspLNI71CdWeM93JmgUuVNnxQzJG0UMmx3+aLlTY85JCBYCzUKNsqZuypf2H6HXXZy8zyCReOAs0gpeEY2LeY0UZu1K4yzRUm9Kvq8JZbMNbacM72Ya30o5nsg2bq38hte1Q0gVlRixa9wdp3R/E5lUpXuCiZJET35TxX85WMMNB5XoPDZtF2J49T2Pmh/LJny4+66m3+5i0ys2FN3toO5D8TCrWerI6aCQSydXhwQcfTIgVt99+O1OmTMm67Oc+9znmzp3Lpk2b2L9/P42NjVy6dAnTNCkqKmLu3LmsX7+ehx56iJkzZyZfaFmiDWsi7DPMO3tEt81bb1zNonmzhufNBFvT56k20RrY0U9g6AgixQqJRCIZZZradLbuC/D2viCHTodzDsicPtnOusVCoJgzzSEH3ANQU+mgO2Cy51gIRVFYOc/F/BrHuB/oSCY2Z37XnVGomPdI4aA7Q1iWhbvMRqTLJNKZvSVfHN1vovuTiqm/Qc8oViiqgqfCRs8FsZ/OIg1vpV2IEzkKE30Jdxp0n83s1tD9Jpd2Bri0M4CzUKN4kYuSRS48k8bvaW3VBi8956IoKsy4tyAtQNNZqDHz3gIq1no4/2oPgUs6k9dlD1Q0DWtCuU8kkrHKoUOHEvc//vGP97tsQUEBH/3oR/noRz86uI0oinA72JwA1NfXc+5CAwBf/uq3oGyRaLVq9J6e+7f/D8997/8Oblt9MfVRdVeM3191iUQiGcecbYyydV+ArfsCnDifm31aUWDhDCfXxwSKKZNkmNZgWTTTSSBkUVlqY1qF/PwkY5+pt/vwX4wmxIWhChUAiqJQ8/58LMsi3GHSHSsb6ToTIdI1sHgRaMge5lt1sxcUBe9kGzb3lZee2dwKNe/Po+1giK4z0TQLdJxwh0HjVj+NW/24J9koiQkXY7E8It4dL5NAqqgKsz5SgOZU+hVQvZPtzHmokGi3iebM/DnrIZPDT1+mZImLyes8aA5ZCiiRjBTPPPMMACUlJXzgAx+4KtvcvHkzABs2bGD9hg1ipuZMXzDRfrWPkBEP/jRzDGgfxSwVKVZIJBLJVcCyLOrORdi6L8jWfYGcO3jYbbBirosbl3q4bpGboryxdwI+nlAUhesWjpNe8xIJ4CrSmPtIEceea8cyGbJQkYqiKLiKNFxFbsqWuXMWL6L+7HVpBTMznChfAZpDpWyZ2L9It8Hlw2HaDob6zcYIXtK58EYPF97oYdpdeVSsGTutHKMBk9P/1UVhrYPyVZn3K1f3iaIo/ZZ/NL4dINxh0LDZT8vuEFU3eSlb7kKR7juJZFg5deoUL774IgCPPvooTufw/g5mY8uWLQB8+ctf7n/BXu1XM5RxmEaKiBHq486IlQxqjty704wAimXlajgeu3R1dVFQUEBnZyf5+bJPt0QiGRsYpsWhU2G27gvy9v4Aly4PfOUSREDmdQvd3LjUzeoFbjyDtE9fy1iWxb66MIV5KjWVMlVdMnEItRtgWlcsVOSCZVmE2w26z0UxQhbuMlHWMRyOiSsldFnn8qEwrQdChFqzi74L/roY7xhxT3WfE90+Il0GiqYw//EivJNHZt/CnQYHv9+Wlh/iLrMx9XYfBbNl6dtEIhQKcebMGWpqanC5ZAvgq8HFixcJBAKcPn2aJ598kv379+NyuTh16hSVlZWjvXvDh2UKwcLU+82rGOp3MNfxu3RWSCQSyTASiVrsrQuxdV+A7fuDdPTklpCZ71W5frGbG5d6WDFXBmQOBcOweHt/kDMNETRNwedWKSuShznJxMBVdPVcVYqi4Cq24RqDrY5dxTYq19uYfKOHQLPO5YPCcZHqBHGX2fCUZ973SLeB/6JOwSxHxs4mw4llWTRtD3DhDT+WKcQDy7A4+etOFvxV8aBzPHKh60wEM4MuHmzRqftFB3nVDqbd4cNbOTaEHIlkvPHAAw8kyjDifPWrX51YQgUIN4Vt9AWwsXcUkkgkknFGMGyy64gQKN45GMQfys2wVlqoccMSIVAsnuVEk2FoQyYYNnnrvQCX2sWVVsOweOO9APes88nWrZJxgRE2adkXony1W175zgFFUfBW2PFW2Jlym5fuc1EuHwxx+XCYkkXZ26G2HQxz/tVuNJdK8XwnJYtc5E23D3uJRDRgcualLjrq0tslm1GRtWGrGP7fprKlbryVdi683pNx2931EQ7/+DIli1xMudU3JrM9JJLxgMfjoba2ls9+9rM8/PDDo707ExYpVkgkEskQ8AdNdhwMsnlvgF1HQkSiuQkUVWU2blwqBIo502UHj+Ggo9vgjV1+ugO9XSzhiMWldh2fR5aDSMY2Rtjk+Asd9FyIEm43mLbRJwWLQaAoCvnTHeRPdzDtLgvLyP573HZQtP40QiYte4K07Aliz9MoWeikeKELb6Xtij/77vOxso8MHVfyaxzMuC8fh2/kRALPJBu1Hyuk60yEc6/2EGhMz/loOxji8pEw5WvcFM1z4qmwo0lHn0QyIJs2bRrtXbimkGKFRCKR5EhPwGT7gQCb9wZ572iQaI4hyjOn2LlxqYcblripqbTLQcgwYVkWDS06m/cG0sQih01hw3IPVbJjimSMY4RNjv+sI9H2s/mdAFgw7U4pWAwFVVMgi0st2KpnHLhHuw2adgRo2hHAWWyjZJFwXLhLB98atmlHkAuv9yTKPhIoClUbPFSu9161oMv8GgcL/rKItoNhLrzRkyaeWIYoU2naHkBRFabc5mPy9WMnlFQikUikWCGRSCT90OU32HYgyJY9AXYfC6HnlpHJ/BqHECiWuqkqkwPmK8WyLLoDJm2dRq8pk6PF61a5dZWX4n7S8iWSsUBCqOjTvvjy4TCTb/DgkN1/hhUjbJE33UH32UjWZcKXdRo26zRs9uOZbBetUBc6++2+AaAHTU6/1EXH8fTSC5tXZeZ9BRTMuPouL0VRKF3soni+k+Z3AzRsDWCE0rOULNPCkZ+9LKVlXxB3qQ1PhW3Esz4kEokkjhQrJBKJpA+dPQZv7w+yZW+APcdCGDlkZKoqLKt1ccNSN+sWuyktlD+vw8W55ihv70t3T2SitNDGrSs9uGUHFckYJ5tQYfdpzH24UAoVI4Cvys68R4sIdxpcPhSi7WCYQFP2VqiBxiiBxijnX+shb7qdaRt9Gbt49FyIcvI3nRnLPvKqHcy8L3/U/56qTWHyOi+ly9w0bPZzaVcwzf3hrcx83NKDIn8DQFEV3JNseCbb8Fba8Fba8ZRLAUMikYwM8mxaIpFIgPZug237g2zeE2BvXQgzB4HCpsGKuS7WL/dw/SI3BSNYgzxRsSyLnqBFa4fOtHJ7xpBRj1PJSaionmznhqUebDKoVDLGySZU2Lwqcx8uxF0mT89GEmeBxuR1Xiav8xJs0WmLCRfhy1lq+yyL7voImlPpM9ui+Z0g51/LXPZRud5D1YarV/aRC3aPyvS78ihf46Zpe4Dus1GCrQaaU8GZpeOMvzH5uVimRaApSqApSuteMS8uYHgr4yKGFDAkEsnwII+GEonkmuVyp8HW/QE27wlw4ESYvueambDbYOU8NxtiAoXsNJE7cWEiUcbRodPWZRKOCGXonht8GR0pRXkamqpgZPkDuZ0qC2Y4WTDDIWv8JWMeI2xy/OedGYWKeY8USaHiKuMuszHlZh9VN3nxN+giePJQmGhPb5eEb4o9rZVrpNPkwlvpQoXNqzLz3nwKZjpHfP+HiqvYRvU9+QAYEZNwh5n199PfkN19Ar0FjDgJAaPKRsVaz6DzPyQSiQSkWCGRSK4xWjt0tu4TDoqDp8JYOQoUqxe4uWm5h+sWuvG6pUCRKy3tOuea9YRAERcmMnG5y6S0MH2+pikU5qm0dRq4nCol+RolhRqlBRrFBRpelyJFCsm4ICFUnOudmSAcFVKoGE0URcFXZcdXZWfaHT666qO0HQzRfjSMETIpXuRKe42zUKP6nnxO/2dnYl7edAczPzT6ZR+DQXOoeCZlP65pDgV3mY1gq0FOB016Cxjlq2Vop0QiGRryqCiRSCY8ly7rbN0nungcPp2bQOG0K6xZ6GLDMg9rFrrxyAyEQWGYFjsPhzh+Nj1sLhutHTq109ID6CzLYtUsF77C7MJE044AlmlRfp1HdAOQSMYYAwkVnknylGysoKgKBTMcFMxwYN5t0XEiTF6G3yaA0sUuuusjtOwJMvlGL1NuHltlH8NB+WoP5as9GGETf5NOoEHH3xjF36ATautfwHAWargnZRZuIt0GkS5zWNrFSiSSiYk8MkokkglJS4fOlj0B3tod4MiZ7MnvqbicCmsXulm/zMPqBS7cTilQDIVgyGTTngDN2eq/M+ByqKiqgmVZRDrNxIlwoCGKv1HHMmH5k6UZT2jDHQYX3uzBjFq07gsx/X155Ndc/dR9iSQbRkQKFeMV1aZQPC/dVZHKtLvyKFnkmvC/O5pTJX+6g/zpyffZS8CI/V6nChgFtc6sQkTr/hAXXu/B7tMorHVQWOskf4YdzSGPvRKJRCCPjhKJZMJwuctgy14hUBzKscTD7VS4frEQKFbNd+GSJ0lXREu7zlu7AwQytMaL43SolBRolOSr5GkK7oCJ1WoQ3Bdm7x970AOZXxtuN9JqxgHOvdKNGQvgDLboHHu+nZJFLqbe4RtXVmzJxMSImNRJoWJCo9mVCS9UZCOrgNGo42/QyZuevXV3vM1rtMegZU+Qlj1BVJtCXo2DojlOCmsdA7aMlUgkExt5hJRIJOOazh6DrfuCvLXbz/663EIyva6YQLHcw6p5bhx2aT8dLg6cDKcJFTZNYW61gyK3iqPDgDaDwIko/oYoHQGTjhzX7W/U08SKwCWd9uPpzpm2gyHaj4eZcrOPSavdsjREMmoEmnX8F/uEaXqkUCGZuGhOlfxqB/nV2QWcqN+k50K6+87ULTpPhOk8IYQMz2Q7hbVCvPBMluUiEsm1hjxKSiSScUd3wOTt/QE27Q6w+1hubUZ9boV1SzxsWOZh+VyXFChGiHVL3PzhbYPumDvC51G5eYWXkgINf1OUwy91DHndwWYdFvSe55lkY/5jRdT/oZtAY+8BoRmxOPenblr2Bpl+d16vK3+SiYllWZhRCyNsYUYsjEjK/XDysWoja+hfV32E1n2hIe9DzfvzemUW5E11MOujBZz8ZSembkmhQiIBIp0GrhKNUGv/5YKBxiiBxigNm/3Y81LLRRxo8jgukUx45JFSIpGMC/xBk20Hgmza7ee9oyF0Y+DXeF1CoLhphYcVc13YZc/3EcflULl5pZc/buuhrEhjw3JPorTGXWZDtSmY+sD2F5tbxTPZhrfSjrfShmeyHWdh5hId3xQ7Cz5RxKXdQS684cfo4+wIXtI59mw7JYtjpSE+aSseD1ixOq5sV1KbdwVo3RvqLUhErJy6FTjytaxiRajNoHVfcMj7Xf1nefTd48JZTmb/RQFnftdN7ccK8ZTL0y/JtY230s7iT5UQatPpqIvQfjxMz7loWhvYVKLdBi27g7TsDjLtrjwq1sguIxLJREceLSUSyZglGDLZcSjIW7sD7DwcJJpDXmM8g+KmFbLEYzSwLIuiPJW7rvdRlCdCM+OomoK73JZmiddcKt5KIUzEBQpnoToou6+iKpSv8lA838X513to3Zs+2Gw7EKLjeISqm72Ur3ZPuMT+iYIRtWjbH6JpR4Apt3opnp853FD3m/gbohmfG3AbkdzaLw4nBTOdLP47B6oUTSWSBK4SGxVrbVSs9aAHTTpPRuioC9NxIpImPKdSWOu8inspkUhGCylWSCSSMUU4YvLu4RBv7Q7wzsEg4ejAgwqnXeG6RW5uXuFhzQIXThmSOeKcaYhQWWrr9VlHug3OvNRFyWIXpUvcGV+XX+NAcyhCmKi04Z1sw1mkDVsdst2rMuMD+ZQtd3H2Dz0EmnoPZo2wyblXummNlYZka0coufpE/SaXdgVo3hlMhKw2bQ9QNC9zNwH1Cv7PjbCFZVlXvf5dChUSSXZsbpWSRS5KFrkwDYue81E6jofpqIsQakterXBPsuEqkg45ieRaQIoVEolk1IlELXYdEQ6K7QeDhMIDCxR2G6xZIBwUaxe6cbukQHE1MEyL946GOHomTFWZnVtXeVBVhctHQtT/Tzd6UISm+aY5Mp5MTr3Nd1X2M2+qgwV/WcSl94JceDO9NCTQrNP4doC8j0mxYrQJtuo0vxOgdV8orUSo50KUnvPRjKKS5hh44K+oCppTQXWIW80Rv69imaBkGO94ym1MXucd8vuR+X8SyZWjakoipHPaRvE70VEXoeN4uN8OIxLJWGfz5s1s376dnTt3UldXR2trK+3t7bjdbqZNm8YNN9zA448/zooVK654W++99x5//OMfefvttzly5AgtLS3Y7XYqKytZt24djz32GDfccMMwvKuRQ7GsXJr7jW26urooKCigs7OT/Pz80d4diUSSA4Zhsed4iDffC/D2vgD+UA45BhqsnOfi5hVerl/sxuuWAsXVJBg22bwnQFPKFa4F0xyUnNbTavx90xzMe6RwTJRaRP0m51/r6bWPqk1h4SdL5NW5UcKyLLrPRWnaHki0L8xG+XUept+ZlzY/2KrTcz6aFCNiIkSqMKFo2TMvJBLJ+CSbK8qyLC687iev2k7h7GujTCQUCnHmzBlqampwuTKXzEnGFlOmTOHixYv9LqMoCp/61Kd46qmnUNWhneuuX7+erVu3DrjcQw89xH/8x3/gcAzt4s1Qv4O5jt+ls0IikVw1LMvi8OkIb7znZ8ueAO3dA7fxUFVYMdfFTSs83LDEQ55HChSjQVunwZvv+fEHk3+zSKfBm7/pYAUq+X1ag4bbDcIdRlqr0dHA7lWZ8cF4aUg3gWadyTd4pFAxClimxeWjYZq2B9KyS/pSMMtJxVo3+TMyn0C5S224S0f/+yWRSK4u2QTIxrcDNG7z07RDoeYDeVnLESWS0cTr9bJx40bWrl3L7NmzmTx5Mvn5+TQ1NbFz507+/d//nebmZr7//e/j8Xj4xje+MaTtNDQ0AFBZWcn999/PjTfeyLRp0zAMgx07dvCd73yHixcv8tOf/pRoNMovfvGL4Xybw4Z0VkgkkhHn9MUIb+wK8NZuP01tA7fxUBVYWuvkphVeblzqpkB2bxhVTl2IsP1gEMMQhwvLgu76CP5zOvMcCpX23gJS0XwXNX+Wh20MOl8s06Jlb4jSJa6s+QE9F6M4CzXs3pHZfyNiEu02iXSbRHtMzIiF3adiz1PFrVcdE46U4cQIm7TsDdH8ToBwR/bfAEVTKFnkomKtR3bMkEgkOdOyN8iZ/+7qNW/q7T4qrvdMaHeVdFaMP3Rdx2bLfnxra2tj9erVnD59GpvNRlNTEyUlJYPezj333MNDDz3Efffdh6aln0e3traybt066urqAFGesn79+kFvRzorJBLJuKSxVefN9/y8sStAfePAif2KAotmOrl5hYcbl3kozpcCxWhjmha7j4U4fDpp09cDJu1Hw6h+k5UujYIUR4XmVJn+Ph8li11j9uRQURUmrch+tc2ImJz8VSdGxGLKrV4mrbjyriHd5yJcfMsvxIluEyM8gKNIUbD7VBx5QsCovNGLb8r4rtE++lwHgX5+BzSXyqSVbsrXuHHkyf99iUQyOLrPpv++nH+th0i3ybSNvjF7TJJce/QnVACUlJTwiU98gi996Uvous4777zD3XffPejt/P73v+/3+dLSUr7zne/wZ3/2ZwC8+OKLQxIrRhopVkgkkmHjcpfBpt0B3nzPz5EzkZxeM2e6g1tXediw3ENZofxJGiuEIiKforE1mU/hb4jSeSpCIQqLXBrOlEG8b5qDmffm4ywc3wPNhi0BIl3iyv/ZP3TTsifE9Lt82H1qwgkR7Y47I4ykQ6LbZOnnS9EytMo1dejK8f8BAMsi2m0Q7Rb7Ub7Gk3ExI2px8PttCUeGEDe0hMiRcGt4B9cGdiQoXeriXAaxwlmoUb7WQ9kyF5rs4iORSIZIzQfysHkUmrYHes1vfieA7jep+WA+qiYFC8nQiUajTJ06lebmZjZu3Mgrr7zS7/KHDh1i0aJFAHzzm9/kC1/4Qs7bystL5jSFQqGh7XAO3HzzzYn7p06dGrHtXAlyZCCRSK6InqDJ1n0B3twVYO/xEGYOhWXTym3cusrLLSs9VE0a3ivGesjEfzGKv0GPTVGiPSY2j9rranXGgd0EtN8PhcudBm/u9tMTax9pRCw6jocJtRlMtSvUOlTU2OBXURWqbvEy+XrPuP/sgq06TTt6n+gGGqMcfaY9p9dHuw20DBkddt+VDcIdeZlfH+02iHQZCXElG4qqJISL1O998ULnsGaK9NcKtGyZi4tvJbuyeKvsVFzvoXiec9x/byQSyeijKArT7sjD7tM4/2p3r+faDoaI+k1mf6QAzSlFUcnQsNvtPPTQQ3z729/mtdde4+LFi1RVVWVd/plnngGEk+Khhx7KeTumafLrX/868Xju3LlD3+kBCIeTztlMpSJjASlWSCSSQROOmLxzKMQbu/y8ezhIVB/4NZOKNG5e4eHWVV5mTrGP2JXertMRTv66M21+/Ep1oLGfFysKNe/Po2xZ5jKBQLOOzauMiSvVI8XpixG2Hwiix/Ipwu0Gl4+GIWox36lSlZJP4Sq1MfPefLyV47tEIY7mUihe4KTtwNCuYkR7TFzF6fOziQ2aUwgIql0h2mOi+02sDGqfPcvrIzkE1ILI6YiLGv6U+b6p9oz7a0QtTv+2M6NLw5GnYfMovb7/pm7RdihE844AM+4rwDMp/dRCc6iUr3YTvKRTcb0H39SR+w2QSCTXLpOv92D3qZx5qavX72nX6QjHnu9g9scKcMgcLMkQefzxx/n2t7+NaZr89Kc/5Utf+lLG5aLRKD/72c8AuOuuu6ioqOh3vYZh0NTUxN69e/mXf/kXtmzZAsBtt93GggULhvdNpLB58+bE/Xnz5o3Ydq4EKVZIJJKciLcafWNXgLf3Bwjk0Go036ty03IPt6zysHCGE/UKrqDqQRN/Q8wx0ahTfU8e9gydQa5o4GxZWUMhLcvi8L9fxjKt5JXq+ACuQKNghoOCWY6soY1jnUz5FACqXcFhwOI++RSTVnuYersvY9nDeMXh05h5bwFly92c/WM3wUs5qHApZBMPNJfCtI15fco11LSyB8u0iAZSy0xE2YnmzPwZR3MUK7KRTQSJdhu0H8veTlRRlaRLw6fSc1FPlKw07Qgw4wOZg7KqbvZKgUIikYw4pYtd2DwKJ3/diRlJnqv4G6IcfaaDOf+rYEx0qrqamKZFl//KjhnjiXyvekXnnNmora3lxhtvZOvWrTz33HNZxYrf//73tLS0APDxj3886/r6OyYuX76c559//sp2uB9M0+zVaeTDH/7wiG3rSri2/lMlEsmgSG01unl3gI6egQ90LqfCDUvc3LLSy8p5LmxDqBHVgyb+Rj0hTgQao4Tbe1vdy5a7KJyV3kfdUaBic6vowaEdlLMO4FKueqdeqY5zaWcAzaVSPN9JySIXedPt48reblnQfDm9nKBqqoPbJjtpeasHALtPo+YDeRO6h31+tYMFf1XMpZ1BGrb4E98l1aHgyNOyZkS4MzgKQJyMVKzNnDvRazlVweHTxFW/yQPvZ161ndqPFcYyM4xEdkYiW6PHFH/YLGQrTxnIsWGZFpFOg0hn+vel7UCIKbd6M165lEKFRCK5WhTOcjL34SLqft6BHkj+poUv6xz5STtz/lch3skTwxWYC11+k3ufvDjau3HV+M9vVlE4QmHNjz/+OFu3bqWuro5t27axbt26tGWeffZZACZNmsQ999wzqPV7PB6+853v8Oijj+J0jty51ne/+1127twJwL333suKFStGbFtXghQrJBJJGuebo7y+08/ru3oHLGbDboPV893cusrDdYvcuAYRlGdETHouCGEiEBMo+goTmQg06BnFCkVRyJtuJ9pj4qm046204SrRMIIW0R4z68AuPqjLng8wsPhhhExa9gRp2RPEnqdRslAIF57JtjE/UNM0hZtXePift3sIxbpVzJnuZPUCF6oC4foImlOh+s/yR6yl51hC1YTAUH6dm0iXic2ljLlaZ4dPw1Gb/WTMMi2ifrNXCGi0R3z3df/IODYsw6LtQJjJ1w8szkgkEslI4quyM/+xIo6/0NGrZbLuNzn6bDuzP1pIwQzHKO6hZDxy//338+lPf5rOzk6effbZNLGiubmZl19+GYAHH3yw3+4fBw8eBEQZSHNzM2+99RZPP/00n//85zl+/Djf+ta3sNuHX1TbvHkzX/ziFwEhqPzoRz8a9m0MF1KskEgkALR3G7z1Tievv9PNscaBB9aKAstqndyy0suNyzzkZSjJ6A89aNK0I0Dzu8GBWzlmwN+YXUSZ/dHCQa0r1X6f7WqzHjDFm+7nSnUq0W6Dph0BmnYEcJXYmPHn+aPWfjKqC/tnl9+gq8ekK2CybrG7l0Uy1G7gzhdlO2/s8rNqvpvaacmTuNl/UYBqV8a86DLcKIqCs2B81jcrqnCCOPI0vIN4nbvMRuUGb6LzSULo8Pfv1MirdjD5eg8Fs+XJv0QiGRu4SmzMe6yIup93EmhKdiQyIxYnf93Jks+WYHONLSFaMrZxu9187GMf40c/+hG//vWv+bd/+zc8nqRA/8ILL6Dr4hy1vxIQgIULF/Z6fMcdd/C3f/u3bNiwgaeeeorDhw/z8ssvD2v45eHDh/nzP/9zdF3H5XLxm9/8hkmTJg3b+ocbKVZIJNcqoRChc41s39XOa8ds7GrLx0QF+h+Mzq12cMsKDzctc1NaPPTBd6TLpGGLf+AFU1BtCp4KG57JdvJrhm/g38t+n4WCmU5W/XOZuFLdaxBn0HUmSvfZ7K0pQ5cNHAUjezJkmhY9QTMmSph09sTECb+JP0NJzNJaF3keBcuyaN0X4uzL3VRc52HKLT7uuyUvzR0j20peO3jKbXjKfWnzLTPVnWTG7huomkLBLMeECVqVSCQTC0eextxHCjnxy06668WxWlEVZt6bL4UKyZB4/PHH+dGPfkR3dzcvvvhir24f8RKQNWvWMH/+/EGve+rUqfzwhz/kfe97H6+99ho/+clP+Mu//Mth2e8zZ85wxx130N7ejqZp/PKXv2T9+vXDsu6RQooVEsm1QDgMjY3Q0IBxsYH9p6K8dmkSW8LVBK3SAV8+tdzGbamtRg8fhp+/CRs2wMKFoA7+YO8pt1E030X7kcydF1SbgrvchjdWyuGZbMNdZhvVPumpV6pTMwWqboJwp8HlQyHaDoZ7Xb0ByK+xi9dkINIjBnvZgj2z0RM0OVYfTogT3X4TI4e+sWZUuEjq3w1QqEPPhaTQ0rA1QMEsB3nT5JVxSTqKquDI13Dkj0+niUQiuXaxuVTm/K9CTv9XF5cPh6h+fx6FtRM3e6kv+V6V//xm9jabE438ES5XXb58OcuWLWPv3r08++yzCbHi3Xff5ciRI8DAror+uOOOO3C73QSDQV588cVhESsaGhq47bbbaGhoQFEUnnnmGT7wgQ9c8XpHGilWSCQTmV274J13oK2NU9FiXgvP5I3QAtrMgU3hRUqQm9cVcvu6QmqnOZL2f8uCzZuhrQ3+8z/F/X5EC8uyspYOVG3wCrFCUfBOtuGtFOKEp3L0hYnB4izQmLzOy+R1XoItOm0HQ7QdDBFuNyhZ6Mr6uqZtAZp3BimY5aBkkYvCWkdOLgZdtzh0KnPHBssUZSt60EQPWLFbcd/UhaBx/EiEafY+27EsTv9XFwv/unjM5TNIJBKJRHIlqDaFmfflU7bcRcHMa0eoAFBVZcQCJ69VHn/8cT75yU+yefNmzpw5Q01NTcJV4fF4+OhHPzrkdWuaRlFREcFgkLNnz6Y9bxpWIjjW5lYH7ETX2trK7bffzunTpwH4/ve/38sNMpaRYoVEMt6JRiFL+E5Lp8kb5yp5PXQjp43iAVflROcG1zlur7zMiloH2k3rIb/PAf3IEbh0Kfk4Llps2QLr1ydECz1k0vxOgI66CPMfL8rYGcNTbmPanXkUzHTgLps4P0fuMhtTbvFRdbMX/0UdV2nmEwTLtGg7FMYyLDqOh+k4HkZ1KBTNdaLNdNDjVVg4K7PQkedVURRRxtGXlr3BtJBERQGXAh5NwaOCL0unkvwZjoEqgSQSiUQiGZcoqjKgUBFvUT5SmLpF6LJB+LKB5lTwTbWP27bn1zIPPPAAn//85wkGgzz33HN88Ytf5Je//CUA9913H/n5mdt450IkEqG1tRUAny9ZlmkaohxTT2lDG+02UR0Kdq+K5krPFuvs7GTjxo0Jx8c3vvENPvnJTw553642E2d0IJFcS0QicOgQ7N4NHg888EDiKX/QZMu+AK+962d/XQXWAD0QVSyWlfZw+3yLG64rxjP1RugvyOf48czzW1vhP/8T/Y23aS64kabmcoywGEi37g9Rtsyd8WUV143zrgG6DoYBDodQBFJQFKXfUM3us1Gi3b07n+hhk53vBajf0QM2hdByD7OWuIkGTEKtBqE2g1CbTl61gzyPSpe/9+udDpWyIhuEongUIUx4VAWPAlo/4Zg2j0rNB/IpmnNtXW2SSCQSiSRO6/4gl94LMvujBdgNP9hs4jxrCJiGRffZKKFWPXbsFsfvcEfvsGK7T6N8tZuylW7sgwwrl4weBQUFfOhDH+KFF17g+eefZ9asWXR2dgJXVgIC8N///d9EIqJEd9GiRYBwKodaDSwj/SKVGbEIRwxQwe5RsXmE2yIQCHD33XezZ88eAP7pn/6JJ5988or27WojxQqJZDzR1CQEigMHRA4FgKKgt7Wz86KT13cG2H4wSCQa/yHLPjidVQ63X5/Pzat8lBYO4qfgz/9cuCc2bYKGhsRsXVdpvlBM04UiDP0oeM7C9OkwqYyGLX5KFrvGVVlHv+g6nDoFBw8K8SYahYIC8bksWgTl5WnCRSZCbQaqTUmUZnQaFkfCJj3x7ImoxdZdAaKHQmlCg82tMvMGN7phJ9+rUuBVyfepuBwqFx09XLycvcOKalNwFmu4SkRbV/ckG0VzHLL0QyKRSCTXFqGQcIi2ttKxv4MzfzCx/EGOvtTBnAVncLqi8NhjMHVqxpfrIRNFIfPx04LjL3QM2EUs2mNw4c0eGrb6KV3mpuI6N65iOUQbDzz++OO88MILnD17li984QsAzJw5kw0bNmRc/vXXX6e6uppZs2ZlXeeRI0f49Kc/nXgcL9dQFAW7TyHSKb5Pf/XZx/j5b14A4I+/eY31128AExEC32OiE+X+hz/Itm3bAPjMZz7D1772tSt/01cZ+Z8gkYx1IhERaPnee3DxYmK2ZcFxvZRXQ7N486sddEUGrkWcVKRx6yovt632UFM5xBBFRYHaWpg9G+rq0F/bTPN7EZoulGDoKfsQCMDRo3D2LOHq6XSf8VGQpaRhXGBZUF8vBIojR8QJTiqdnbBtm5jKyoRosXAhFGcvv5m00k3xQictR0K8s83P0XPRtLKOgGlxPmpR7egtVgRbdZbPzvx5ukrET7ujQMNVouEqFaKEmGw4C9QRtbhKJBKJRDJmMAxobxcO0La2hDhBWxv4RVeyni4XJ/dVY5lCdAhh48ieauZcfxlXRSXhFj3hjAi1GQRbxX3db1J9Tz6TVqa7R1WbgrNII3w5e6v1VMyoxaWdAS7tClI018nkGzz4qmSXpbHM+vXrqa2tpa6ujqamJgAeeeSRrFltb7/9NnfeeSe33norGzduZPHixZSUlKDrOmfPnuXVV1/lhRdeIBQ7x/z4xz/OLbfckni9zaMS7Taxsl+PSvDQJx7gtddfA+Cm9Tfz6MMf59ChQ1mXdzgc1NbW5vrWrxpSrJBIxirNzUKgSHVRAC2Gh9dDM3k1NIuzRtGAq/G6FDYs93Dbai+LZzlRh2mQakQsmpun0NTzQXRfK7jqoacnbblibyOV3oN4/pQP5u1C6BivvPxy77yObLS0wJtvimnKFCFcLFgAvvR2kK1+kx2dBl01dsqrbARbdILNOpEucbWm2q4y1Z7+N9P9JnrIzNh2rXCukxX/NAktw+skEolEIrmmeP55OHeu30U0zcRmN4iEk8fUaMTO4dMr4OttWJm6bbW3Q1Qn1OQAMpe6ukqyixU2j5oISeyFZdF+NETeNLsUK8YBjz32WKK0QlVVHnnkkX6XNwyDV199lVdffTXrMpqm8cQTT/D1r3+913xFUbDnaZhRiwjJsUHppJK0dfzujy8l7m/a8hZLly/pd7+mT59OfX19v8uMBlKskEjGEtFo0kVx4UJidtjSeDs8nVdDs9gdqcSkf7u+psKahW5uX+1l7SI3jmEctBphk+Z3gzTtCKAHYwfZ0hIoKYG2Vqg/Cz09FJV1UTW9BY8v9mPa0gJdXcO2H1cdRRGiwxtvDO51Fy6I6dgxePjhxOxI1GLPsRDHziYPNppDwVclTk7ybCpzVQXrdJRwu4EjX004I4RbQkPN8neVIoVEIpFI+qW7W7gEOztF5lJ8cjrFrceTtfRhRLEsUWoZDgtnaSSSvJ9pXmencEhUVcE992ReZ3HxgGKF2xth/vIzHD8wjaA/6Vq0SsogW1vwc+ehvZ1Q226I5IlzhBkzeuV+eSfbiPaYuEu13sfwEg3NqeJvjNK0I8DlQ+FegojmVClbPjbdqJZlYUYsjIiFoojMjWuZBx98MCFW3H777UyZMiXrsp/73OeYO3cumzZtYv/+/TQ2NnLp0iVM06SosIjZM+aw7robePB/PcT85Zkv7tljbVnfffcdAG699VZWrV+WaE2vB0wYuJP9uEGKFRLJWGHLFti+PVFeYFlwKFrOn0Kz2ByuwW8NXLYxv8bB7Wu83LTcQ8EwHzxM3aJpe6C3SJGKApSWUnRjFVVVjXgObYamlNaaBQWwbNmw7tOw0tUlhKLGRrj33szLLFzYW6yYPl2cnFRUCDHi4EFx4pTttTEuXIqy42AQf4bPUVMVFs92snCmE02WakgkEolkuLAskbe0e7fIWzL78ZIXFcFnPpP5uXhb9LiwEb9NvR+/VZTe4oLPB2vXZl7vq6+K9fa3X9nI0Do9QUn6Vee01xYW4igtZd7aEurem0RPpwfcbvE+MhGOCGcFEOpWhQv2wAEh8ixYII7506Yx5RYfU27JvAoA72Q7M+8tYMqtBs3vBmjZHcIIm5StcGXNkYp0G6CA4yqJBKnihBEW9+NoTgV7umk0sZ9G2ELVFBQNFBWUxP3YbQ75XmOd1NKKgYI1CwoK+OhHP5poa5qpu0ccM2plvShVX1/PuZgA9+UvfxkA1a7gLNBw5KvoQYtASzTxt1JsCu4yLePnbZni76q5xubfQooVkrGLYSQPcKYJ+fkilXmiYlkQCtFk+Hg1NItXQ7NoMAZuezS5ROP2NV5uX+2latLI2QUVVXT1yChUAEXzXVRt8OIptwGFsG6uGMBv2iRKWtavz95lJBCI9dZ05RRMOWwEg+LK0qFDIo8inhdxww0waVL68kVFQnApLRUnIgUFyeemTIFbb4Xz54VocfiweF8g3ve8eYQiJruOhDh1IdJ7vSdPQUkxZTWlrFvikb3QJRKJRDJ89PTA3r1CpOjoyO01jn4ukHR3CzfDUJg8ObtYoWlDEypAZFBYVuZziNJScevzCeEiPpWWituiosT5iQ2Yc5fF6f/sov1o72wqu09L5j81ncXVfQ6XJ4LTlXJMDwSEmLNr16CCt50FGtPuyKNqg5eWPSGK5mfvzHVxk5/WfSFKFrsoWjn8wdj9iRN96S//yoyK15r9XeZXhIChpgoYKih2Bds4Cf1+5plnACgpKeEDH/hATq/pT6SIE+0xcRZlPh/cvHkzABs2bGD9+vW9nlMUBbtHwe5RE24L1Zbe0jSOHrKIdBgoqihNincSGStM4JGf5Kpjmv3b9nQdVqzI/Nq6OnHFuu/yqSiK+OFPPcDE7+fnX91B7jATCJlsMebzp3Y3+6MVAy7vdirctNzDHdd5WTRz+HIo+kNRFSo3eDn9n72dA0XzXFRu8OCt6COUKArMmwdz54orOLNnZ1/5yy+LAb7dDnl56ZPP1/txtisduRCNiv05eBBOnhSiWF8OHYJbslwK6e9ApCgwbZqY7rwTTp8W27EsWiIO3tjWQyjc58DU2Ynt4jmWt7zD3KYgavcCcWJTVTWuv9MSiUQiGWXOnoV33xUXDgYrAvR3nI1Esj83ECkZXGn0J5Dksl6/P2M2FLNmwRe/KC6I5IBmV5j14Xy6691E/WLA6CrRemdEnSgCT4VwqmQbi2cK3l60SIgj2bbtVKlYm71VatRv0rY/hGVYtO4N0noiiusmEz1iYjmtITkVBiNO9EXp59qKleH0Kn0hsHQLQ489iKE5s4sV0YCJpVu9HRqj5NQ4deoUL774IgCPPvoozgHOT3MRKUCIBnZfdrFmy5YtQNJVkY2426I/4vtipXQS0ZwKNo+K5souclwthiRW/PCHP+Tb3/42TU1NLFmyhO9///usXr066/K/+c1v+Od//mfq6+uZPXs23/zmN3nf+96XeP6RRx7h+eef7/WajRs38sorrwxl9yS5YpqZawBNU/ywZ6KuDnbuzPy6vuJCXxQFli/PPACLRsXV9/6wLHFFoKNDHBxSefBBmDmz/9ePJtGouIK/ezd88INQXIxpWuyrC/Ond3rYui9IKGIB2YUKRYHlc1zcscbLDUvduIdRcbYsi0CzTsfxCJ0nwsz+WGHGXt8lC500bLYRatOzixSZdnzu3OzPt7QIcQDE53T5spj6w+FIChd33y1OAtLfVPK7ZhhJ4eDYsYFPtA4ehJtvvjKxQNOEQBMTaQqiFpk0pcndF7jefZQ8NQJ+xInlu++Kk5n4iU2m9yeRSCQSSX+cOSPOPbJhtycvJPS9wJTfj7OzP8FhIPo7/mYa6ClKemlJatmJx5O8eJVNjLDbxTQIFEUhv6Yf8SR+fO/pEZ/xwYPCWZmNvsHbH/uY2PdBcmlXINHuPI4ZFVfGtZCBzadicw9ugBlqMwYlUMRR7UrWMgUgcyhpjvTn2DBCJkYoy7pVUOPChabESk9SxAxNQdWubPB98eJFAoEAp0+f5sknn0TXdVwuF5/73OeyvmawIsVAzoaf/OQn/OQnPxnS/qdiRE3MaPpnaYQtjLCBzaPiLBxdt++gxYpf/epXPPHEEzz99NOsWbOGp556io0bN3L8+HEmZbBNb9++nb/4i7/g61//Ovfccw+/+MUv+OAHP8iePXtYmFLDfeedd/Lss88mHg+kTF2TxMWF+MHEsjJb1UFcMT58uP9womg082tdLqFAZ6KnR6x7KFiW2GYm5fxK/95xi19fLl+Gn/wk3fIXt/0Ntaykp0co5v05SVKfu3BBlBwA5zcf5FV1Ca/t9HOpfWDZeWq5jY1rvNy22sukYey7beoWXWcidNRF6KgLE+lM7kvniTClS9KTrRVVofrP8tBcysAiRa5s2TJgD/I0IpFk+7FsdaptbfDjHwtBIxhMlmT0h9MJ8+cLgWCYcdgVrlvk5s1dok2aw6awcq6D2YfeRlEznLy1t4vPZssWkYkRb4WaWnoikUgkksxYFvzud4lcgUHj8cCHP5z5ucOHhc0fxCC4okKUN1RWit/oseKKW74cNm9OP8ZWVAin6+LFQzv/WrNGDNRzOQeyrPTgzmwsWCCcianL22xj5/PMhM8Hq1eLqb1dXHw5cECIE9kIBkUeRibq68V7jrtK+5TPmrpoidpXsBDPCdEi2gU2n4rdI9qUW5aFZZB1AKw5lJzECtWuoDoUNKeC5lAGbIHuyNcwDbFty7CwzNhtDo6LITs2TDBNC/o4NeJoTiXR3r0vUb+JZViiNEUBVEXcJh4LEeuBjz3A5i2be732q1/9KpWVlem7ExcpBgi9zFWkGHYs8XfNJFgA2Nyj/7836JHPv/7rv/KJT3yCRx99FICnn36aP/zhDzzzzDN8McMA93vf+x533nkn//AP/wCIP+Zrr73GD37wA55++unEck6nk4qKge3vV5u6v/sjTZu7sKIR9JCK0xXG6Y5gs4PmANUOml18+VP/gcV9Fc2loeU5UVcuRfPa0XxOVK8DLc+J5nOgtjainDyZLkRkci70FRcKC+Gzn82845cuifrEoRA/uGQ6OFyJRQ/E+8i0jitZr92e/QpAa6uwBfr96UnQiiIEi5IS8VkaRu/P3uuFj3wk83p374a33sp5F7tNB2+F5/BqcDZHXpsE9N8VI8+jcvMKDxuv8zK32jFsFqxIj0HniQgdx8N0no5kPTi1H49kFCsA8quv8DuQiq4P7KIYiEyWTxCCUlzU6A+bTbRTXbRInHyNYC7KtHI7NZUOdMPiuoVuvDYDNqwXV2QaGrK/sKlJTK+9Jk7k4q1Qh3BVRiKRSK4JFEUcX86eHdrr+3MWdHWJQWWcEyeS9z2epHBRWSnuj5SA4feLc70FCzKXFuTni+Pb8ePiXGnhQiFSXGmZYUWFmIYbr1dM45WiIrjxRpF7demSOLZnCt5euDD75/+73/U+L/J4epXBTs3Lo/zGPC6d8XLphAM9nH7BxjIh2mUS7TYTA1FFBU955otMmlMhmt55HtWmoDpzFyf6YnNnvphkWZYo/zCEsJAmZpgiEDIbV+TY6MdVoQfNnEQbIzaw97g9zJoxm0/+5d/x8EOPZFw22m1mbk8bY9REihiaQ8VdpmJELfQ+nUQUmxjPjjaDOiuPRCLs3r2bL33pS4l5qqpy2223sWPHjoyv2bFjB0888USveRs3buSll17qNW/Tpk1MmjSJoqIibrnlFr72ta9RMlB671Xg4utdHDm2cOAFB0SPTcG0Z1TKUImiEUFTdFR0NCUq7is6mqKjqTqqYqCpOppqoKoGms1Ee/qXQjBxCNEkLpKowU60NhuazUK1WWiaiWaP3Y/Pc4BmSxFcHCJ1VrODeqIZrdiH5nOiODSU+NXrwYgKdnu6bS/bFfTSUtGBIVuiNIgf77Y2IUDEr6q3toqDQ7Yf/f4GqpbVf8lBfycqOXwOhqWwJ1LJy6HZbAtPIzrAv5uqwur5LjZe5xu2dqOWZRG8ZNBxPExHXZiei3pOLobOk2FM3Rr5H0+bDT7xCSHE9fSI0K6+U+r8UO+wq17fj750d2ffrqKI9mKLFokSlRzrWAfCsiyOn40wtdyON8tB+oYlblQ1XlepiqCxtWvFdzV+YtPf9/bcOTG9/DJs2CAmiUQiuVaIH7vr68WUnw+335552erqoYsVQyUQEKWqqeWqHk9SuKisvDJh3LJEecfu3aKs0TDEsfG22zIvf/31okx28eJhO9ZJBkBRRKBmeXnm4O1s7k3LSj93CQTElFIq7QCmAJNVhabOybRGloE/AG619/mpRWLwbYV0zB4dNYNjQbUAHVSNXmMKJX4aY7ODmuX7ahji/fbXjaUPiqIIt4IKKoM/z9Rc6qCdGolt97ebOWogr7z4evpLs5xb231qRrFitEWKvmh2Ba1Aw5GnoocsdL856HKikWJQv5Stra0YhkF5eXmv+eXl5Rw7dizja5qamjIu39TUlHh85513cu+991JTU8OpU6f4x3/8R+666y527NiBlqF7QDgcJpxSL9fV1f9V6ivBzFIpMazbwI6JHR1P8h8lV9HwCi9KZ+XpVqA19sAUQgox8YQNMfEkLpyYaJqBppmominEELslBBCblRBDVDtoP34Z1SGUPNWhoLlUIa7EXCiqS0Nza2guG6rbhuaO3frsaG67cKV4qlFn16ItdaB67MLVYppJQSWVHNKqRXWKhs1m9P6tHWxdZYyLeh5/Cs3mT6FZtJhZrvqnMKPKzsbrvNy6yktx/vDVhTVu83NpV5BwR+6/4s4ijcI5Tgprnf3/oA83drsQnfoJnQKEqJEqYPT3N8okVkyZknQlZHNkDJHOHoPtB4M0t+lcbNG5ZaUn44+8lk3VLymBm24S4kNjozixOXQou+himqJ3vEQikUxk+ooT9fW9fxcLC/sXKzZvzvzc1SQQECW0J08KW3/KRb+c8fth3z4hUvS9yLJ3r8hZytRxa/p0MUlGh77B2+fPZy9dzuSi7gdNsyiZ1EWXQ8fhjKDaIes1/FAQoy2Kak8/J1QAjxa77he/tppKQUF2ca27W3y/+16gHIR4MVj6BkbGnRpmBodGXMywYg6OXuUl8dDZ2L4OtiI5lWyDetUmgirjgsVYEyn6oqjJTiLZBJirzZjoBhLvNQuwaNEiFi9ezMyZM9m0aRO33npr2vJf//rX+cpXvnJV9s2Ijs0v09VFxcCFAUkRZRAq5vBhAZHYlI5KBI1owo2iKgaa4kBTVyfnIRwrCjqWoqFbLnTLCSgoqoldi+Ky9VDkvSTcJ2/9GtWhJkp6VJeK5tRQe9rRziLEFadG1O1kt286mxw1HGHgMMRCn8qtq71sXONl1tRhLKtIQQ9aAwsVioJvio3COU6K5jhxlWbuwTxmsNvFAD2XQfqSJcLq2t0tDkhTpozI4N40LY6cibC3LoRhiH+Q881RzjREmVE1hL+toiTtw7ffLq4KHjokrsikOkscDpgzJ/M6DEOcEE2fPrZrfSUSyeAIh4Wzqr5e/DY8+GB28XzPHlFql9pRyecb+y3ALUvU/qeKE/1dlIoHbxcWpj83ZYoYIGZrm90f/QUy1tSIcGfLEvvW2ChK+YLp7tk0ysuz/w0OHBBCdWoZSVubECiOHs3cvQqEkHHsmBDiJWMXTRMCWjZCIXHRprt74ND6PthsFq5iFUPTiPZkDqC0zOznA0M+VYhfPI5GxeQXuVxXU7yIOzU0FcjmSjZNrEgEoiG4HNvX+P+TwwFuNzaHE9OugBkTLqzYrWklHmffiexPxbt6jGWRIhNjZTwwqCNWaWkpmqbR3KdrQ3Nzc9a8iYqKikEtDzBjxgxKS0s5efJkRrHiS1/6Uq/Skq6uLqZOnTqYt5IzU25249h5iI4WN+GgHcO0YZoKlqViWQpm7Nay1Nh9FQsVExULDQsVa2xoQhMeEwcmDvFjcqViYDyPqz7bAtOwWEL7JI36uXbOl9nRB6jrUg2LyfU61ceDVJ33Y7N0tio622LlPapqpDhVhEtFVU0UG6KLhKqKX2JFBVXFUsV3rGhSNy6flcxJiTlVorqdthP5qDYVxa6i2BQUm4rmUsmvUsiv1iicacNR7EBzOrAuOYgEHMK90rf8ZzwyQO2rZVlEdTAtC5cj8/tsatNpbNXRDYuIbqHrpNwXrw9HLcKR9GsZOw+HmFpux34lByZVFSfFNTVw113CVnzwoKg/njs3eznSqVPwi18Ie3S8x3tFhRQuJJLxRjgshMczZ8SgvbGxdwvKc+eyt4Xevl2USvalTw18WmvoLMF+I0pPj+g2los4kYn6eli6NH2+3Q7XXXfl+9eXTJkN8Y5lceEiPvUtX5w8Oft66+tF/kVqBsZA2Gzidz7b1XrJ+KGwED7zGfFdCoWyl8SmTqmoKppDRStWMXULPWSCGQvGtEIZO5JdEYaRXUDLJF6klnpf7fNLw0DJVvYdywd0gNhHj0fc9tnHRNZGXMgwk4/7y8JQbcqod9QYzwxqFO1wOFixYgVvvPEGH/zgBwEwTZM33niDT33qUxlfs3btWt544w0+mxIE+dprr7F27dqs27lw4QJtbW1MzvKD7nQ6r1q3kPnPvZ/5KY+jAZNAYxR/o46/QSfQEB3w6nXZChfTb/dgdIUw/BGM7jCmP4IRiHD2jQgdpwwcLh23T8fpjeJwRlAiOkbIwAwbGEEDI2xihk3RricS64cctjCiolTFiIChg6krGFEFw1DFfUPDMFQMQ8M0NQxTw7Q0DMuGadnFLTZMhqmzwzVAyK1wrtZO/Vw73cUD//gUthhMPxZh6gkdZ1ioKAbeYXOqnDs99NcKw2AoNqU/pxGNZagk81PUeGZKH2FF08xEPopqy1ACFM9UcSio8TIghxpzq6jCpRIrBVKdWrIEyG1H9cRu3TZUjwPNKyYhrDhQPQ4UW/rfoidgcuxsmNYOg2hMXIjqFrphEY0laRf4NP78pryMn05zm87+E5k+m/7J86isXey5MqGiLzabcFLMmSMGMP21jou3gu3qEgOW7dtFmUm8FeoYyAOS9KGuTlxNjnctGksdBSRXj0gk6ZyorxeDXTOrsVsswwSyoQAAOEhJREFUk02syFZClqEGPo21a2HjxszP/eIXg77qm2DZssz1+s3NIlhwMOTliavU1dUig2i0iYd2FxWJrlKQFDDiwkVjY/8lGf0FLfelrAxWrhRZFNk6S0jGJ4oi/qZud/auf5D8fl28KI4ZKW4g1abg8KWcF9mv4MJpNmFhECUrCfEisT928T98pTkqhpFcdzQqhNZMF3LiXWUGKm2In18pitg3t1sIF4qSzNpILCyP0VeDQX9zn3jiCR5++GFWrlzJ6tWreeqpp/D7/YnuIA899BBVVVV8/etfB+Azn/kMGzZs4Dvf+Q533303v/zlL3nvvff48Y9/DEBPTw9f+cpXuO+++6ioqODUqVN84QtfYNasWWzMdqAcRewelYKZTgpmJsWShIDRoONvTBcwfFUOVJcd1WVPkwQunLiM2yH+eRMFDoqCd5qN/GoHedV28qbZ0Zwjq0BauoHRE8bsiWD4I0JM6Qlj+KOYgShGMCruB3WMoJ64NUIGZsjACJpCUInEby2MmKBiRkmKKroorRFCSm9BxTRVIaaYGoZpiwkqsdtYrsdoYSrQNM3G2bl2GqfbsAbo0ewImUyti1J9LEphW/89lccuKgZODJxEU90qo1ICRGwHorHJn/asgi5yVYgS9lm0VtjoKrajKCaKYsUmcV9VRTK2oli4TB3v2cZYAG1cVBHhsxcK8mgoLIr15Y717LYpsVth51O0mGvFrqLaVGYXGCwuN3F02+lw2VG9djSPAzWeueJzoPqcqI4rOHFwOrNbvyMRYQfuS1sbbNokpsrKZCvUvMxCjWSYiEZFJ5eGBjGgKstSJrZ/vyj1iWOzibKl1HbLcSFDDkwmDpYlnFC5ihN9Se1IkUq8q9VQ6e93ob6+/7yg/sgmKkydKpwc2a7SxvcpLk5UV4v/j7Eu6KUKGAOVaOi66CDRHzabWM+KFeIzG+vvXzKyxEUNTcvoBOhFf6LHUHG5hMMoGu3dxTAXBiN0xOkrTKSWcsSJOzf6oihCIMl1/yxLlHUFg+JzLSiQx95RYtBnyx/5yEdoaWnhy1/+Mk1NTSxdupRXXnklEaJ57tw51JR/luuvv55f/OIX/O///b/5x3/8R2bPns1LL73EwoWiw4amaRw4cIDnn3+ejo4OKisrueOOO/jqV7961dwTV8pAAkZedeZBthG1CF7KcHXCsvBfjOK/GKVxmwg78UyOiRc1dvKmDr94odg0bIUeKBy7rRAt3cAMRDB6YmJKbDIDEYxAFLNHiCpmUOfcOypdFxUs3cTULSzdxNItLN0SPZ91C8uw0LQoLkcYuy2EEVGIhGxoiNatpq5wyeXm0LQyjkwvJeAeIH/Asig/r1N9NMrkeh1tvGoU4xQTG12FDtrKNQJ5anzmgKiGxYmzmbMs2ktVGrP8//bFGTSZXK9z0q9xkvjVjLi4Esi4x3HnSq+cFVVHVUzhXtFS3StWzMEiuvmIzj7CtZIUWRSRy3LZhWoQWzb2mvh9m4Vqu4BqO49m/yNqeTFq9RS0SUWohT60kgLUPCeqy55wr6ge+9gqDbKs5NWPgoLR3pskcWEi1Qbe0pK8knPHHdnFir5hwPGBS6bBi8eTFC5KSkRdfn910JKxQ9+24IoCf/zj4Fo4a5rI46muFiVimdB1MahNtYsPxg0xzAHEA+JwiPeU2mLc50sKEzU140OcuFLuvTfpwGhsTJaQlJUJgWLJEjlgkmRk1MIQVTV5ASUvT4it0WhSuOhPHMhWymoY4jcx5mjIKkxkoj8RxOEQv8EOhxAu7HbxuxgMppdrpWKaYz/rZxQZ6e/ekD75T33qU1nLPjZt2pQ27/777+f+++/PuLzb7eZPf/rTUHZjTJNJwOhLqEXPqVewZaaLF95KGxXrPBTPu3baUCk2DS3fjZY/8IHadWuIk7/uzPics0ijZJGL4oUuPJPS/wUCIZNNuwO8vKOHw6cHVmCLVVjp1lju0igsd2Ett7CiBlZETGbUwIroVK2EgipdOFUCei+XyolNTvQgmKmiSkxQSbRlskxUywBMFBFtDKaJio5imZiGEptU4VQxNAxTFU4Vy5a8tWwY2DBwAGNg4DkMdBeoNE/ViLgG/35MTXg2Mp0CO0IW+e0GigGqCZphoZpC4FBj81TDwhYFZ9AapCEw6VxhTDhX4hhkFlcEySBbo4/IIoQVUSIUy1zRUoQWm4Wq0dvBEm+d7FBETa1DQdUssa74emNijmpF0KwoqhlGNcJimaI81D/biOqyoXnsqO4UF0uwE/WdbWhlBSiF+SgF+cNbkx+NCut6qr27paX/q+LZLN6WlVPnogRxG//58+LxkiXZxYqWFnGS5XKJE7SrmUMgESfq58+Lv/HMmZmXqa7uX6xIFSeqq8UV9f7CH0EIWqnnXak18Nlq3+PPxUM5rzZz54qcnfj7LCmZ+OJEKvHsidjFvITFX1XF53ItfRaSnIl3TdSHWpo13KSKF5BdvLDbsztBIpH0spFc6U8cyc9Pn2e3CwHQNMVvZDCY7kqz2bL/5hqG+F+9hsUMIyYiqSN0Meva/WTHAN5KO8v+oQx/Y5Se81G666P0XIhiGf0LGJZpxZa7Sjs6xjANi67TEdqPhpn+vryMyboFs51oThUjHGsV5FUpWeiiZJELb5UtLeHWsiwOngrz8nY/m/cECEX6/xs47Qrrl7m5Zb6bmT6VyGWTUJtBqFUn1GagBxRw9v73ci7wUbIhc+BjZG4nRsjEkadhz1Ox56k4Yrd2n+h7PBIJwmZEx+wJ93KrmIFIr/KfhLgS0jHCsbKfUMpt2ExmqsTzVOK3UTD1ZAmQqSsYekoZUExYEZkqKqaVmq2SWgKkDVgGlE2oUE2LwlYTl9/MKDSo/YwtvT0W3p4xcgIwRhjWINvh4OfxO5lcLKsS91QiqHSjcRkVA01JCi69xJaYuBIXUzSblRRbbKCGe9D0EKoViYkzqc4XDU1TUsQZK/l6zULbXYd6YZvIXnFpQmRx28WyShWa3oUa6EC1oqh2ke+iqEKg7pf+gvX++7/hwoXkY5utd0J76v2+86qrhWsjE+Fw/yeb1ypxcSJe1nHxojgJnjoVZs3K/JrqatG5I46qCnGipib5N8h2BTJXBlMDHwr1L4bcfvvgSlVS6S8M/frrh7bOiUq8hEQi6QebzYbT6aSzs5O8sVjWmU286O9q/FBK2OLdR+z2dAdbrvvp8YjJMJIlINFo/26mQEAIvXHRI16Wcw3R3d2N3W7HPpCIPkSkWDHK2L0qhbOcFM4S/8RG1MJ/IUpXfYSuM8JNkU28yJuepbwkbHL8553kTbeTX23HN9WOlqHbgWWJK/ZGODm4VFRwl2X+WrTuD9J1OooR7hPyGREuAC12ZVRzKGhOJdbyU8yzexSqbspsK9VDosWSGn9dhjwIy7LoOR+l7WCYy4dDiX7FhbVOiuamu1c0u0LpUhdG2KJkkZP8GkfGE/62ToM/7ejh5R1+LrYMPCidX+PgzrU+bl7hwevOfpKuB4V4EYyJF9EeE/ek7D9esz88OlZ21WFDLbZhK87eNWOskKkMyAxGMQIRjJ4oL5/S6QwgnCy6hdPQqcHPND2AGtQxI0YyUyVsxvJULIyIiRkR/3tmSraKGQXTSBdXTENNOFbiOSuGKRwrJtqYyFiRpBMXWRL/5aMltvy+74z4TqzM+hIhtMQzWVLKhuKuk2+0o9p+J0STVPHEZqL6LVSlXLhdYs4XVRUlcKoaTpQXCaEmLq6YqBqo1VVoM6aiOkToreq2iRBcp4a65U3UiF/c97nQ5s5EXb0ctThflA957CL4dqyUDo0U0Wi6OJHJqnzxohAyMokOcbdEqnPiSsWJoRIXNfpj1ar+n5dIJFcNRVEoLCykubmZ9vZ2isa6wBUXL/pjoFyJeAlHXJyIh2cOF5om3Jc+n3Ca9bfueLviuBOkq0u8P7dbOBon8vEPCAaDdHV1UVhYOGKtThVr1Iqcho+uri4KCgro7OwkP5PFZxxjRK2Y6yJCV31SvHCV2lj8qcyJ/h0nwtT9vCPxWFEVPBU2FLW3MGGErbQylPwaB3MfzvxDV/+Hbi7tym4P7w+bR2X5FzLXajfvCnD2D8nUckUTooXoGiHuR7vNjF1Xihe4mHX/4Ab6hmmx63CIP2zrYceh4IAXiIryVG5f4+XOtT6qJ8sB6GhgWRbNlw00FcqKMotpJ85H2LY/QFG+xsIZTqor7WjD3qcrdyzTxAzFnCux0FozGI25V6IiZyUUKwuKh9b2ca4IUcXACInwWjMq/neFyBITV/TUAFtFPDZUURKkK0JQiZUFmVYyxNa0UroD4ZBdgSQjRkJsUYykwKKaKY6WWDZL3NmixoSWeNZKSvlQfBJdhpTkFO80ZFdFtyFX7Napia5DbpsQVpyi45DmtsfcLXbhcPGKMqJeUzyrJbXTUK7iRCYefDB7KYhEIpEMEcuyEmKFx+PB5/PhcrlQVXXEBpAjSrxcJF4GomlJUWK4hYkrIRoVXbz6w+EQbo3REqBHAMuyMAyD7u5uurq6cDqdTJ06NVGSlCu5jt+ls2KMo9kVCmY4KJghvuRGxKTngo7ZT5lCd33vGi/LtPA35Fb3ZYSzr1dzDP3HQXNmf23f92IZFnrAQs9BF+k4HsYImzkFjjZf1nl5ew8vb/fTMkC7WVWF6xa6uWutlzUL3dgG6P4hGRlM0+JsU5TDpyO0duiUl9i4a21mh86MSjtet4/JJdqYODgrqormcaB5HONDArAsrHBYlOP0hIWw0iMEFjMQwdh7GHP/YczuoHCnxEWSmCgSF0pMXRX3TUXcj+eoVFWLZSNW8rU6mEEds9OfEE5EtkpqGZCGaYoWyyJzJfU52Xp5PJBwtcR/6i1yCr+9euixKZjxWYWYyJKYDDTFQlWmoFIRKycSUzzDRVVj81RTBOY6QHt2O6p7Vy/RRYgtqbktavI2PjlV4WhxJMUWcdunnMhtEyKLKym2iBwXe9b2zhKJZPyjKAoVFRW43W66urpobW3FHGqpliR3olFRBpLLdX+HY8I5Lex2O4WFhZSWlg5aqBgMUqwYZ2gONSFcZKOrfogtxQCjHxGkP8FhIPoTOvoTSPrDN8VO8aL+A0Z1w2L7gSB/3NbDrqOhAX9PppXbuPN6H3es9lJcIE/sRotI1OLkhQhHzoTpCSQPuM1tOi0dOmWF6T9dmqZQWSp/0oaMoqC4XGiA5snwG7N+JvD+3kF9fYP5+s4zUkTST98h0vz70tMjWnamBl/m5Q0qrMoyTcxATFSJOVfMQNzJkuJgid2aPSGMzgBmdxCzO4QZCCfKisyAjqHYMMuqkg6WmJvF1EWZnekPY2KPBdfGHCxG71IhUSKkpmSwaAmhRbhZhNBiycPwmMdCw0ATYbjJmYMvIxpEhurgSW3tnJleoks8qyVFaEmWCcVLhqxEhouqWSldhYTbJSm4pAovyamX0yUmusTdLqozfptSWuSyJScpvEgkg6agoICCggJM00TXdSlYXA0MQ7jt6urgzJn+Q0E1DRYvhpUrBy6FGeOoqordbr8qFwflWdIEZMqtPrrOROiuj+C/mFvHEWBAW5Vvqp2K6z1oTrVXiYbmUFBsSsKibsRKTEQ+gHhs92VXEvsTSPriKrVRuthF8UInruLsX9+Ll6L8YbufP73TQ3tX/z/WLofCzSs83HW9jwUzHGPiqvy1ij9ocrQ+TN25CJFo5u/F4dMRblouf7pGjcEE9QWDQrSIRLJ3F/D5YM2aK9slVUXzOdF8znHnsbB0A6MnLESUYDRZKhQLtzWDsXDbYDRWGhTrIhROlgqZkWSpkBHOUjIUz2HR42G3IvA2LrQkxBZTlBAZZu/QW9NKOl5MSxNOF+xMlI5C1wK9RJexEpCbkcEKLwYqRq/yIuFsMZNZLZqJolqxUiOrVwhuL6dLX8eLvX/Hi3C7xISXXs4XG1qq8OKyoTjjDpik+KJ6RL7LhM51kVx1VFXFMYHKDsY8c+eKKRqF48fh0CE4cSJzieDWrfDee7Bhg8j/ucbCOIeCzKyY4BgRk+5zUUJtBqotNfwyJRcifmtXRmWgbll9RY5kcGf8sWVZ+Kba8ZSnd/KIE4labN0X4A/bethXN3CScO00B3ev83LLSm+/YZmSkedyp8HhM2HONEQx+xHX8jwq82c4mVc9vhVpiWSiEO8oZF68hLl1O8ahY5hhEbps6kosT8USgohlw5g8DXPKdDEvVWyJBd/GhRYjHBNc4iJ4ithipoothhIrNUpmtPR1tpiWmiK4JMUWWUIkGSsosfKirOKL0tf1Ene+9Ha/qBoDCDCxyRZrFW1Xxa1DFfdzEGCUuAvGbRPOF6ctzf2iuOyoDnlRQXINEwzC7t3w9tvCjdqX/Hz4u78buA31BCbX8bsUKyTjnvrGKH/Y1sNr7/rp8vfvovC6FG5d5eXuG3zMnipV5yvFMC103SJqQFQX9yO6ha6LEpwZVZktYk1tOnuOhYjqFlHD6lXqkYnSQhsLZjiYXmFHHcXQTIlEMgBtbbBlCxw4kLmOd/p0eOSRqxuQZlnQ3CyueNXViVDM+FNmXFiJiSpRMEvLMTfegxGIJJwtianTL5wqhiLcLWEzdmskXS0RCzMau42YKZ2GrD5iCxhRBdMg4W4x4+G4GR0uaq9yokSmiywnkoxJzIT7RVMM4YbpW3akZBJgYuKLavVxwfQRX7SkAyYhwMTdL7ZUF4ySEGAUeyx016mhOJIiTK8yJKeWLEFy2ZKBuy7btdHhSDK8BALimLhzZ++Wzx/8ICxdOlp7NSaQAZuSCU0oYrJpt3BRHD49cEbHghkO7l7nY8NyD+4cwjgnKqZpxQSCpLhgmFBRkvmnoKlN51h9mGhMfIjEXhPVIWpYGFna6saZVlGAPcOqdcPiUnv/rWIVRWFquY0FM5xMKhoboZkSiWQASkrgz/8c1q/PLFrcdNPVESp0XdQP19WJqbMz42KKGnMcpmrXtg5YNWVQuSmjjaUbsWyW1BKiaKx8KIoZz26JT+FY16Gw3lt0iZiJLkS9RJdon0lP6URk9Ha69Jri3YjM+NTb6ZIoKUpxu8jSoomCmjlcd0xjxqb+Q+lVoqjEBZgUN0xfJ4xiiVvN6iXGKBpomoWixoSYuPiSemtXEreKLTUPRk1xxaQ4Ypxa7L4QYjRXiiDjsolW9aliTMwRo8QEGemIGSE8HrjzTli9Gl5/HY4cgYoKkV0hyQn5jZSMK06cj/CHt3t4Y5cff6j/o16+V7Qcfd/1XmoqJ7aLovmyztnGaFKIiFroRkyYSBEnMokLqqrw4F35GcWAQMikvjG3TjKZ0HULuy19vf11V9E0hVlTHMyvcVDgk7V8Esm4JC5a3HijEC0OHoRp06C6OvPylgXhsEhLHw5++1s4ejS3ZRUFJk8W+1ZdLfZzHAkVAIpNQ/NpaL7xXyJnRmKiS0qOixmMCmElGE13uwwgvAi3i4kZNWMtny0sPSm8ZCwxMpTkbdzxYiYdL0nRRe0ToKuJbBApvkxoTOzJErLU/Jcxn2cZ73zUX6m0mSxJirlhlFgYr6JkKEtSzF5ijBJ3w/RyxiRFGEWLhfJqfRwxNlAdKopNQXOoKPaU8qSES0ZDcahJZ0xcjHFosVwYDc1lF6VKKYJMwiHjso2eIFNcDB/+sAjjVJTsXUEuX4Z33xWCv9d7dfdxjDK+jsaSaxJ/0OTN9/z8YZufunMDuyiW1jq5e52PG5d6cNivjavxHd0GR84MnNORCdO0MM3MGT+ZhIbBENEt3BnmOzKs1+VUmTfdQe10xzXtfpFIJhSlpXDvveLES9ezuypOnoQXXxRhq2vXigDXK2HWrP7FCqdTLDNnjrj1eK5se5JhQ3WIq8AUjvaeDA9p4ksoJrqEopnFl4gphJeQkSwxiggBxoomS42MSDLjxdKt7OVGmZwvZgYRJj6llRxpMuflmkLFRM0sxowL4uG8GXIiEuQqyAgxRkktU1J7lykpqVkxKaVKSuJ+rFTJ1tchsyt53xErUbKrqGdOoHa0on5nJ+rM6SizalC9DiHIZBJl4oKM05ZwyYiSJvuEKVmSYoVkzHLifIT/2drD67v8hAZob1qUr7LxOh93X++latLEOZAGQyZNl3Wa2gx0w+LGpZlPqPtzKuRCRLdwZ1jHYMUKm6Zgt8Wn7Mt53QprF7nF8nYFl12hpEBDu8L3IZFIxiilpdmfsyzYtEk4K7ZsEVeVrrtOTH1FC12H+npR2nH+PHziE5mvUM2enT6vqAhqa4VAMX26TGGXXBUmmvgCOQowESNFhDHE45j4Iu6bydsUEcbSkw6YVBeMoYOl93XAkBKu27v8aCARxrLURAmSlch+kb8J1wZjWZCZmrz7Rn/L9d8xKY5KNNY9yUgJ700RZeKCTKx7kpIqyqQ4ZW7dfguumpIrfXNDQooVkjFFKGLy1u4A/7O1h2P1/bsoFAVWzXdx9zpfYuA73vn/t3fvwVFXdx/HP3vJbi57gSTkRrhEuUTkVrnEoFwqFKSIUO0zaJ0pVUenFq1IrS1OlTrjDI6dzlhbp7bTZ2r/KGp1BKtVK40SvATkIg+XKsVoRYRwCSbZbEg22T3PH0uWhGw2CSbZC+/XzE6S3++3v5xwOJvZT875no7hRE1tm+obz217ZLNaVD7JRP05L3QGRHu4EOxm6qIr06opY9Mj4UPHMMJuD8+QaD9mt6nXxS+dDqvGj0r+6coA+sEnn3QqeqmWFqmyUtq2LRxYTJkiHT4cLpBZXR3eCrfdF1+Eg4fzeTzS8OHhIGP8+HBIMWzY4Bb2BFJUKgYwUpTaL+0hTGQZUvvsl3MhjAmcW4Zkzs6ACQZC4c8DwQ5bSYei1H4xXWbCmGCMICbUdTaMMe1hzPm1YDp8pAjvRSscyKQpKJ0LZC4gmDHNsevMDST+5yIh/PdYq159x6d/bvfLfyb2KBo2xKbFs7K0eJZL+dnJ/V+4PZw4XhtUzek21fmi7Ml8VjBkdOKroIpyu/7M7iyrxo50KM1mkd1uORsiqMMsh3C4kNYxbOhFuODKsOob4/tpDTkARHP0aDhEOH/3kPbQorKy++cePBg9rJCk225j9gSAXkul2i/nM6GQQs1tMs1nC/C214BpbgvPiDkbxpiWcGATbG6TCXSYCdMcVKi1w0yYjsuS2sOYtvBW0+0hjDk/jAl2XZpkQuHtp01Q5wUx3QQyUerDMDNm4Fkz4zdrPbnf6SGpBVqN3tkTnkWx95PY9RasVql8YoaWXO3SjAnpsiXp9pWtbUZHTrT2KpyIpqa2LWpYMdRt01WTWXMNIAnNnStNmBAOJQ4ciL7laXf+8x9p4cLo5wgqAECSZLFaZct0SJkOKTverRkYkZkxza0y7bNiWs7/GL7GtATPBTIdQ5mWoEwgdG52TOu5Ar3ty5SizoxpNedmxXQKZiwyIZ2bIXN2lozpWLC3QxhjIrNkzn4dqRcT31kyFmf8IgPCCgy6L0+26h/vNur1Kr/qG2OXTh42xKYlV7u0eFaWhg1J/v+uzQGjyt1NfXqOw25Rfo5d+dl2Fecl/78BAHQxbJj03e+Gg4ueQguLJbzEo315hzEs7wCAi1xKzYwxJrxE8s03pZMnO58KmXAAYmwKXT5ZoYJihfKKzi5D6hDKnF2uZDrOjgmcXbp0NpRpnyUTag11ninTenbr6rMzZGyecXH6h5AsxvTlTxiJqaGhQV6vV/X19fJ4PPFuDqIIBo3e33dGr7zTqJ0fxarQe64WxdLZLl15eUZSFF00xqjBH1JtfVC19UEV56WpMMoMCGOMXnzLJ/+Z7kOajuFEQY5N2R5br2tBAEBKOHEiXGyzPbRISwvv2jFuXLh4pssV7xYCADCwQiHpww+lt9+WGhujX+NwSGvXRg/tz5wJ3yMzM+FC/d6+f+fPtBhQJ0636bX3G/WP9/yqrY+95GGo26rFs1xacpUr6hv9RNEeTJxuCOpUXTicOF0fVKCtc+4X7WewWCwqyLGr+si5AnEOu0V52XYV5NiVn2NTDuEEgItdXl54psW3viX5fFJBgWRP3N8LAAD0O6tVmjZNmjRJev996b33pNbzdgHJyek+iNi9W9q8WUpPD+/KlZNz7pGbK2Vnh/8YkMD4zY9+FwoZ7fyoWa+806iqfWcU6mHuztRxTl0/26WrpmRe8K4WA+X8YOJ0Q1C1dV2DifPFCmaK8+xqCRjCCQDoidcbfgAAcLFyOKR588LBxZYt4RCifXFETowtRWtrwx+bm6UjR8KP83m958KLjkGGxxN9a/BBRliBfnO6Iag3qhr16ruNqqmNPYvClWHRonKXll7t0siCxEz0th84o+ojAQVa+75S6nR9UMYYWaIknSVFDpUUOfqjiQAAAAAuBm63tHSpVFYm7dghHTsmFRZ2f317WBFLfX348emnnY8XFEg//OHXa28/IKzA12KM0f8datEr7zTqnT1Nauthc4sJJQ4tne3SvCsy5XRET+uMMfI3h2c0NDQGVe8PqSVgNOcb0Xe7OHaqTQc/j72bSCyzp2ZGrYthjPocVGQ4rcodYlOO16ZgSLJTjB4AAABAf8nLk5Ys6fm6uroL/x5Dhlz4c/sRYQUuSFNzSJu3+/Xy1kb991hrzGsznBYtmJmlpVe7NGbEuRkFgVajen9QDY0h1ftDkXCiwR9SW7BzSBBreUjjmVCPbYjl6qnRj+d6YycN7cFEtsemnCE25XptykyP/3QpAAAAABe5e+8Nz5o4dSo8y6L9ceqU1NAQ+7mxlpcMIsIK9Mnnx1q1aatPm7f71dQce9bBpcVpun62S/NnZCkz3aovT7Tqvb1NavCHVN8YUnNL7G1L4y27Q1iR7rQq1xueMdH+yEy3RF3mAQAAAABxZbVKQ4eGH2PHdj4XCEinT58LLzoGGS0t4boVCYCwAj0KBo3e23tGL2/16cODsZdbpNmla6Zn6frZLpWOdnR6M3+6IahDhwMxnp1YhrisumZ6FsEEAAAAgNThcITrUhQUdD5ujOT3J8wuIYQV6NbphqBee69Rr7zTqJN1sYtRuDMtGj/KoctGO/WD67xR39h7svpWwCHNbpEnyypPlk1eV/fLK3I8Nn1jXHqf7t1RdxmE1WpJ2OKfAAAAANCvLBbJ5Yp3KyIIK9CJMUYHPg3o5a0+Ve6OXTDTImlEvl3jRjlUmGOPvOlvbjHKSI8SVkQJHKxWi1wZVnmyrPK6rJFwwpNl7fVshmyvrdOSDQAAAABAciOsgCSpORDSWzuatKnSp0+OxC5W6cmyaPKYdOVl2+TK6BpA1PtDyohSaNKTadXYkQ55z4YRXpdVrkyrbFaWVwAAAAAAziGsuMh9eaJVf3+nUW9U+eVril3w8rLRDi2YmaVg0KjxTNdr7bbwso1QN3U3bTaLrpocfftRAAAAAADaEVZchIIhox0HmrVpq08fHGiOeW17wcxlc7Jks1m1ff+ZLtuKStKEEqemlabLZmOWBAAAAADg6yGsuIjUNwb1epVfr2z16Vht7IKZhTk2LZ3j1uLy8Laj2/afUfWRrsGGIy08W2JUIYUoAQAAAAD9g7DiIvCfwwFtqvTprZ1NCrR2s0bjrJkT0rVsrlszL0+XzWrRV76g/vFeo+p8XcON3CF2zb0iU+7M7nfqAAAAAACgrwgrUlRb0OjdPU16aUuj9le3xLzWlWHR4lkuXT/bpeF552ZIfPJFQNu6WfZROtqpGZex7AMAAAAA0P8IK1JMfWNQ/3i3US9vbdTJuthLPcYUp2nZXLfmz8hUuqPr7IiTdcEuQYXDblH55AyVFDn6td0AAAAAALQjrEgR1UcC2rjFp3/tiL3Uw26T5l6RqWVz3Lr8Eocslu5nRsyYkK6TX7XpdEM49Mj22DRvWqY8WbZ+bz8AAAAAAO0IK5JYMGRUtfeMXnrbpz2HYi/1yPHadP0cl5Zc5VK2p3dhg91m0dwrMvWPdxt1yXCHZkxg2QcAAAAAYOARViQhX1NIr7/fqE2VPtX0sKvHhBKHbvimW3O+kSl7N0GDMabbGRZel03L5rqVlUERTQAAAADA4CCsSCKfH2vVxi0+vbndr+ZA7KUe86Zl6oZ5bpWOdsa8Z31jUO/vPaOrpmR0u7yDoAIAAAAAMJgIKxJcKGT0wYFmvbTFp50fNce8dqjbqqWzXVo6260cb89LPaqPhHf7aG0zqtzdpG/PcrHMAwAAAAAQd4QVCcp/JqR/bvNr4xafvjzZFvPacSPDSz3mXZEpR1rPYUNb0OiDA2f0n8OByLHa+qB2fNSsKydmfO22AwAAAADwdRBWJJgvT4SXeryxza+m5u6Xelit0pypmbrhmz3v6tFRfWNQW3Y36auGrrUujp9uU2ubUZqd2RUAAAAAgPghrEgAxhjt+rhZL73t0/YDzTLdZxTyZFl13dUuXT/bpbzsvnXfp18GVLUvvOzjfONGOjTz8oxui3ACAAAAADBYCCviqCUQ0r92NOnFt3z6/FhrzGsvGZ6mG+a5NX9GppyOvhW8DAaNPvh3sw5+3nV70zS7RVdOzNClxY4+3RMAAAAAgIFCWBEHpxuC+vtWn/6+tVF1jaFur7NapFmTM3TDN92aMtbZ66UeLYGQTtUHVVsf1On6oE58FVRTc9fvM9Rt07xpmfK6ei7GCQAAAADAYCGsGESfHQ3oxQqf/rXDr9YYNTNdGRZ9+yqXls91qyCn7120r7pF+6u7zqLoaOxIh8pY9gEAAAAASECEFQPMGKOdHzXrhYqetx4dVWDXd+a59a2yLGU4uy71aAmEVNsQUm1dm/xnjK6cFH3njljbltptFpVPYtkHAAAAACBxEVYMkECr0eYP/L2qRzH9snR99xq3ZkxIjyz16BhMtH/0NXVeyvGN8c6o9Su6CytyvDbNnpqpIW6WfQAAAAAAEhdhRT/rbT2KNLu0YEaWbrzGreK8NNXWB3Xg00C41kSUYCKa2oaQinK7hhXuTKsy063KyrAqx2uLPIa6rb2uewEAAAAAQLwQVvST3taj8LqsWjbHpevnuGWxSG/vbNLWD5su6HvW1rWpKLdrF1osFv3PfDfBBAAAAAAgKRFWfA19rUdx4zUefWvmua1HWwIhNfiDffqeNptFQ9025Xptyh3SffcRVAAAAAAAklXXNQS98NRTT2n06NFKT09XWVmZPvjgg5jXv/DCCyotLVV6eromTZqk1157rdN5Y4wefvhhFRYWKiMjQwsWLNChQ4cupGmDItBq9Np7jbrt0Rr97HcnYwYVhTk2rb5pqP73F4W67mpXpxoTTodVnqzu60fYbBblDrGrdJRTsyZn6vrZbn1vkUfXXe3SlZMyVBhlVgUAAAAAAMmuz+92n3/+ea1Zs0ZPP/20ysrK9MQTT2jRokU6ePCg8vLyulz//vvv6+abb9b69et13XXXacOGDVq+fLl2796tiRMnSpIef/xxPfnkk/rLX/6ikpISPfTQQ1q0aJH+/e9/Kz09/ev/lP3kK19QL1f69HKlT/V+0+11VotUMjxNE0ocGuq2qTDXLqs1+kyHbK9NDf6gbFaLhnrO1ZfI9drkdVtl6+Z5AAAAAACkKosxpvt33VGUlZVpxowZ+t3vfidJCoVCGjFihO655x79/Oc/73L9ihUr5Pf79eqrr0aOXXnllZo6daqefvppGWNUVFSkn/zkJ7r//vslSfX19crPz9czzzyjm266qcc2NTQ0yOv1qr6+Xh6Ppy8/TkzGGLW0tOjzmjb9+RWfdh1sVTBG3UtHmjS22KaxI+xKd5wLGQpz7PpWWWbU55z8KiBjJK/L0udgwmq1ymqNPjkmGAyqj10bYbFYZLNFn/HBfcNCoZBCoZ6LoHbHbo+eEybqfW02W9SlRcYYBYN9W8qUzPeNNeba2mIUq0nA+ybbmEu2+ybqWOY1YmDvy2tEWCqNZV4j+ue+yTaWeY3o+b7JNuaS7b6JMJbb7+F0Ovu9xEBv37/3aWZFIBDQrl27tHbt2sgxq9WqBQsWqKqqKupzqqqqtGbNmk7HFi1apE2bNkmSPvvsM9XU1GjBggWR816vV2VlZaqqqupVWDFQjp1s0trfVOuLr4bEvC7d3qo8T6NyXH5ZQ9IXn587Z7UYHT/SojPHTw1sYwEAAAAA6EfXX3993FY79CmsOHXqlILBoPLz8zsdz8/P18cffxz1OTU1NVGvr6mpiZxvP9bdNedraWlRS0tL5OuGhoa+/Bi95smy6rQ/o9vz7vRm5Xsa5c0I16ywWowyHK3KdASU5Qx/zHC0ipUcAAAAAAD0XlJWaFy/fr0eeeSRAf8+dptFE4trtP3TUR2OGuVkNanA61OOq0mZjoAyHa3KcgaUkdaqbmZKAQAAAACAXupTWJGbmyubzabjx493On78+HEVFBREfU5BQUHM69s/Hj9+XIWFhZ2umTp1atR7rl27ttPSkoaGBo0YMaIvP0qvTSg8oV3/LZbNGlLx0HqNLzipbFeTMgkmAAAAAAAYEH0KKxwOh6ZNm6aKigotX75cUrhIR0VFhe6+++6ozykvL1dFRYVWr14dObZ582aVl5dLkkpKSlRQUKCKiopIONHQ0KDt27frrrvuinpPp9Mpp9PZl6ZfEKfTqf+5cYkmXBHQ6AKLnGn5ksb1+T4UvUm9+yZC0ZvBvG+yFbCiMFbP9022MZds903UscxrxMDel9eIsFQay7xG9M99k20s8xrR832Tbcwl230TYSx3LLAZL31eBrJmzRqtXLlS06dP18yZM/XEE0/I7/fr1ltvlSR9//vf1/Dhw7V+/XpJ0r333qu5c+fq17/+tZYsWaLnnntOO3fu1B//+EdJ4U5avXq1Hn30UY0dOzaydWlRUVEkEIkXi8Wi9PR0TbsscbZPBQAAAAAg1fU5rFixYoVOnjyphx9+WDU1NZo6dareeOONSIHMw4cPd0rgZs2apQ0bNugXv/iFHnzwQY0dO1abNm3SxIkTI9c88MAD8vv9uvPOO1VXV6err75ab7zxRtyqjgIAAAAAgPixmAudt5JAertPKwAAAAAAiJ/evn+nRCQAAAAAAEgohBUAAAAAACChEFYAAAAAAICEQlgBAAAAAAASCmEFAAAAAABIKH3eujQRtW9o0tDQEOeWAAAAAACA7rS/b+9pY9KUCCt8Pp8kacSIEXFuCQAAAAAA6InP55PX6+32vMX0FGckgVAopKNHj8rtdstisfT7/RsaGjRixAh98cUXMfeBRXKif1Mb/Zva6N/URv+mNvo3tdG/qY3+TW0D3b/GGPl8PhUVFclq7b4yRUrMrLBarSouLh7w7+PxeBiMKYz+TW30b2qjf1Mb/Zva6N/URv+mNvo3tQ1k/8aaUdGOApsAAAAAACChEFYAAAAAAICEQljRC06nU+vWrZPT6Yx3UzAA6N/URv+mNvo3tdG/qY3+TW30b2qjf1NbovRvShTYBAAAAAAAqYOZFQAAAAAAIKEQVgAAAAAAgIRCWAEAAAAAABIKYQUAAAAAAEgohBW98NRTT2n06NFKT09XWVmZPvjgg3g3Cf3gl7/8pSwWS6dHaWlpvJuFC7R161YtXbpURUVFslgs2rRpU6fzxhg9/PDDKiwsVEZGhhYsWKBDhw7Fp7Hos5769wc/+EGX8XzttdfGp7Hok/Xr12vGjBlyu93Ky8vT8uXLdfDgwU7XNDc3a9WqVcrJyZHL5dKNN96o48ePx6nF6Ive9O+8efO6jN8f/vCHcWox+uL3v/+9Jk+eLI/HI4/Ho/Lycr3++uuR84zd5NZT/zJ2U8tjjz0mi8Wi1atXR47FewwTVvTg+eef15o1a7Ru3Trt3r1bU6ZM0aJFi3TixIl4Nw394PLLL9exY8cij3fffTfeTcIF8vv9mjJlip566qmo5x9//HE9+eSTevrpp7V9+3ZlZWVp0aJFam5uHuSW4kL01L+SdO2113Yaz88+++wgthAXqrKyUqtWrdK2bdu0efNmtba2auHChfL7/ZFr7rvvPr3yyit64YUXVFlZqaNHj+qGG26IY6vRW73pX0m64447Oo3fxx9/PE4tRl8UFxfrscce065du7Rz505dc801WrZsmQ4cOCCJsZvseupfibGbKnbs2KE//OEPmjx5cqfjcR/DBjHNnDnTrFq1KvJ1MBg0RUVFZv369XFsFfrDunXrzJQpU+LdDAwASWbjxo2Rr0OhkCkoKDC/+tWvIsfq6uqM0+k0zz77bBxaiK/j/P41xpiVK1eaZcuWxaU96F8nTpwwkkxlZaUxJjxW09LSzAsvvBC55qOPPjKSTFVVVbyaiQt0fv8aY8zcuXPNvffeG79GoV8NHTrU/OlPf2Lspqj2/jWGsZsqfD6fGTt2rNm8eXOnPk2EMczMihgCgYB27dqlBQsWRI5ZrVYtWLBAVVVVcWwZ+suhQ4dUVFSkSy65RLfccosOHz4c7yZhAHz22WeqqanpNJa9Xq/KysoYyylky5YtysvL0/jx43XXXXeptrY23k3CBaivr5ckZWdnS5J27dql1tbWTuO3tLRUI0eOZPwmofP7t91f//pX5ebmauLEiVq7dq2ampri0Tx8DcFgUM8995z8fr/Ky8sZuynm/P5tx9hNfqtWrdKSJUs6jVUpMX7/2gfluySpU6dOKRgMKj8/v9Px/Px8ffzxx3FqFfpLWVmZnnnmGY0fP17Hjh3TI488otmzZ2v//v1yu93xbh76UU1NjSRFHcvt55Dcrr32Wt1www0qKSlRdXW1HnzwQS1evFhVVVWy2Wzxbh56KRQKafXq1brqqqs0ceJESeHx63A4NGTIkE7XMn6TT7T+laTvfe97GjVqlIqKirR371797Gc/08GDB/XSSy/FsbXorX379qm8vFzNzc1yuVzauHGjJkyYoD179jB2U0B3/SsxdlPBc889p927d2vHjh1dziXC71/CCly0Fi9eHPl88uTJKisr06hRo/S3v/1Nt99+exxbBqCvbrrppsjnkyZN0uTJk3XppZdqy5Ytmj9/fhxbhr5YtWqV9u/fT/2gFNVd/955552RzydNmqTCwkLNnz9f1dXVuvTSSwe7meij8ePHa8+ePaqvr9eLL76olStXqrKyMt7NQj/prn8nTJjA2E1yX3zxhe69915t3rxZ6enp8W5OVCwDiSE3N1c2m61LxdPjx4+roKAgTq3CQBkyZIjGjRunTz75JN5NQT9rH6+M5YvHJZdcotzcXMZzErn77rv16quv6u2331ZxcXHkeEFBgQKBgOrq6jpdz/hNLt31bzRlZWWSxPhNEg6HQ2PGjNG0adO0fv16TZkyRb/5zW8Yuymiu/6NhrGbXHbt2qUTJ07oiiuukN1ul91uV2VlpZ588knZ7Xbl5+fHfQwTVsTgcDg0bdo0VVRURI6FQiFVVFR0WquF1NDY2Kjq6moVFhbGuynoZyUlJSooKOg0lhsaGrR9+3bGcoo6cuSIamtrGc9JwBiju+++Wxs3btRbb72lkpKSTuenTZumtLS0TuP34MGDOnz4MOM3CfTUv9Hs2bNHkhi/SSoUCqmlpYWxm6La+zcaxm5ymT9/vvbt26c9e/ZEHtOnT9ctt9wS+TzeY5hlID1Ys2aNVq5cqenTp2vmzJl64okn5Pf7deutt8a7afia7r//fi1dulSjRo3S0aNHtW7dOtlsNt18883xbhouQGNjY6ck/7PPPtOePXuUnZ2tkSNHavXq1Xr00Uc1duxYlZSU6KGHHlJRUZGWL18ev0aj12L1b3Z2th555BHdeOONKigoUHV1tR544AGNGTNGixYtimOr0RurVq3Shg0b9PLLL8vtdkfWwXq9XmVkZMjr9er222/XmjVrlJ2dLY/Ho3vuuUfl5eW68sor49x69KSn/q2urtaGDRv07W9/Wzk5Odq7d6/uu+8+zZkzp8sWekg8a9eu1eLFizVy5Ej5fD5t2LBBW7Zs0T//+U/GbgqI1b+M3eTndrs71Q+SpKysLOXk5ESOx30MD8qeI0nut7/9rRk5cqRxOBxm5syZZtu2bfFuEvrBihUrTGFhoXE4HGb48OFmxYoV5pNPPol3s3CB3n77bSOpy2PlypXGmPD2pQ899JDJz883TqfTzJ8/3xw8eDC+jUavxerfpqYms3DhQjNs2DCTlpZmRo0aZe644w5TU1MT72ajF6L1qyTz5z//OXLNmTNnzI9+9CMzdOhQk5mZab7zne+YY8eOxa/R6LWe+vfw4cNmzpw5Jjs72zidTjNmzBjz05/+1NTX18e34eiV2267zYwaNco4HA4zbNgwM3/+fPPmm29GzjN2k1us/mXspqbzt6ON9xi2GGPM4MQiAAAAAAAAPaNmBQAAAAAASCiEFQAAAAAAIKEQVgAAAAAAgIRCWAEAAAAAABIKYQUAAAAAAEgohBUAAAAAACChEFYAAAAAAICEQlgBAAAAAAASCmEFAAAAAABIKIQVAAAAAAAgoRBWAAAAAACAhEJYAQAAAAAAEgphBQAAAAAASCiEFQAAIO5ef/11WSyWPj8WL14c76YDAIABQFgBAADirqqq6oKeN2vWrH5uCQAASAQWY4yJdyMAAMDF7ciRI6qrq+t0rKWlRTNmzJAxRnfccYd+/OMfd3neiBEj5PV6B6mVAABgsNjj3QAAAIDi4mIVFxd3Ovbhhx+q/W8qc+fO1cSJE+PRNAAAEAcsAwEAAAlp3759kc8nT54cx5YAAIDBRlgBAAAS0t69eyVJaWlpKi0tjXNrAADAYCKsAAAACal9ZkVpaanS0tLi3BoAADCYCCsAAEBCap9ZMWnSpDi3BAAADDbCCgAAkHBOnTqlmpoaSdSrAADgYkRYAQAAEg7FNQEAuLgRVgAAgITz8ccfRz6//PLL49gSAAAQD4QVAAAg4Xz++eeSJKvVquLi4ji3BgAADDbCCgAAkHBaW1slSRaLRcaYOLcGAAAMNsIKAACQcEaOHClJCgaDuv/++7Vjxw7t378/EmIAAIDUZjH8uQIAACSYL7/8Updddpl8Pl/kmN1uV2Njo5xOZxxbBgAABgMzKwAAQMIZPny4KioqtHDhQnk8HklSaWkpQQUAABcJZlYAAAAAAICEwswKAAAAAACQUAgrAAAAAABAQiGsAAAAAAAACYWwAgAAAAAAJBTCCgAAAAAAkFAIKwAAAAAAQEIhrAAAAAAAAAmFsAIAAAAAACQUwgoAAAAAAJBQCCsAAAAAAEBCIawAAAAAAAAJhbACAAAAAAAkFMIKAAAAAACQUAgrAAAAAABAQiGsAAAAAAAACeX/AVKnj+hPuUAUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].reshape(m*M, ) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(13, 5))\n",
    "Colors = ['red', 'darkorange', 'k', 'darkgray', 'darkviolet', 'royalblue']\n",
    "#Labels = [f'$y_{i+1,j+1}$' for j in range(M) for i in range(m)]\n",
    "Labels = ['y1,1', 'y1,2', 'y2,1', 'y2,2', 'y3,1', 'y3,2']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m*M):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "    #         #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=Labels[i])\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 41])\n",
    "plt.ylim([-0.01, 0.31])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54287a2b-d24c-4640-97e4-35402460ccdf",
   "metadata": {},
   "source": [
    "### Results are less precise!!!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d67a504b-d845-4dd9-a137-bb08f79f204c",
   "metadata": {},
   "source": [
    "# Now we compare numerical solutions of the mean-field differential equations against simulations with the Advanced Model on complex sparse networks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b5cf369-aa1e-4e5b-8fe8-bb00b0372ebc",
   "metadata": {},
   "source": [
    "## M = 1, m = 3 - assimilative influence"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86cb1959-c0fc-47df-a861-4bb8863888c3",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7222c3d0-b7ce-4fa5-a86e-27f0cc766c17",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 1  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 0.6  # the fraction of ordinary agents in the system  \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_ass_strict_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_ass_strict_confidence_3\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 30\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "v = np.array([2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([[0.2], \n",
    "                [0.3], \n",
    "                [0.1]])\n",
    "\n",
    "\n",
    "n_types = [0.6]  # type populations\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             #A, b, c, s, \n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the control function\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0.4], \n",
    "                    [0]])\n",
    "\n",
    "u_t = []\n",
    "\n",
    "for i in range(15):\n",
    "    \n",
    "    u_t.append(u_basic) \n",
    "    \n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0.4]])\n",
    "    \n",
    "for i in range(15):\n",
    "    \n",
    "    u_t.append(u_basic) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24ec5927-24be-4642-bd4f-1049dc565749",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ccebfcbf-fe7f-4e4d-906d-8b755eaa7736",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph is connected: True\n",
      "Density of the graph: 0.01335559265442404\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model \n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 1000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "graph = nx.watts_strogatz_graph(int(n*N), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c7be50a-b4e3-4854-accf-6eddf4ed3b82",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9dde5ed2-1a9f-4930-8d36-5d8af0866065",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['darkorange', 'darkgray', 'royalblue']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-0.5, 30.5])\n",
    "#plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1be9fd7e-b9d2-46cd-a741-a38a715d8598",
   "metadata": {},
   "source": [
    "### Increase the number of agents in the system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "c2bc5a65-63b2-4c95-b8d8-53ca075da7ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph is connected: True\n",
      "Density of the graph: 0.00266755585195065\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model \n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 5000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "graph = nx.watts_strogatz_graph(int(n*N), 8, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0dc0ecb-7302-425f-beb0-9e9d809d10bd",
   "metadata": {},
   "source": [
    "### PLot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "1a7e4c63-2c60-48aa-b010-3a37110c1027",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['darkorange', 'darkgray', 'royalblue']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-0.5, 30.5])\n",
    "#plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e700b27e-c6c1-4d35-a984-c4a695d65709",
   "metadata": {},
   "source": [
    "## M=1, m = 5 - BC"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc85f210-3b46-4454-9c2b-14790feb6952",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "59378035-ed58-4d2e-98f1-ec3ad2e35ab1",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 1  # the number of types of ordinary agents \n",
    "\n",
    "m = 5  # the number of elements in the opinion alphabet\n",
    "n = 0.6  # the fraction of ordinary agents in the system \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_BC_strict_5\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_BC_smooth_confidence_5\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 150\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "#v = np.array([4, 3, 2, 1, 0])**2\n",
    "\n",
    "v = np.array([4, 3, 2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([[0.3], \n",
    "                [0.2], \n",
    "                [0.01], \n",
    "                [0.09], \n",
    "                [0]])\n",
    "\n",
    "\n",
    "n_types = [0.6]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             #A, b, c, s, \n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define the control function\n",
    "\n",
    "u_t = []\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0.4], \n",
    "                    [0], \n",
    "                    [0]])\n",
    "\n",
    "for i in range(50):\n",
    "    \n",
    "    u_t.append(u_basic)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0.4]])\n",
    "\n",
    "for i in range(50):\n",
    "    \n",
    "    u_t.append(u_basic)\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "u_basic = np.array([[0.4], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0]])\n",
    "\n",
    "for i in range(50):\n",
    "    \n",
    "    u_t.append(u_basic)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f5c31d1-95ba-435c-98c6-cd2c38e38164",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "c422984b-c88e-43eb-a444-487ee7eea44d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 149001 of 150000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 1000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*N), 8, 0.05, seed=None)\n",
    "graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb8322dd-27e2-4a89-b5c3-6a04cb7f761c",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "e8c465cc-84d6-409e-8d12-00a8f70c48b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['red', 'darkorange', 'darkgray', 'royalblue', 'darkviolet']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 151])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c559883-f2e0-497f-a2fd-987a322ef3ea",
   "metadata": {},
   "source": [
    "### Increase the number of agents in the system / run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "fc524c19-98e1-4ef6-9680-335530ddc1f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1490001 of 1500000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 10000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "#graph = nx.watts_strogatz_graph(int(n*N), 8, 0.05, seed=None)\n",
    "graph = nx.barabasi_albert_graph(int(n*N), 10)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6512d54d-f51b-4e34-bfe3-3d920024241d",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "79dfe476-237a-4120-8796-bdf2bd5faf4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['red', 'darkorange', 'darkgray', 'royalblue', 'darkviolet']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 151])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e740c4c-5a80-4644-8513-b6030d0994d5",
   "metadata": {},
   "source": [
    "### Try a different initial point "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "0ff39919-9204-47e8-9fac-06a6ae10f075",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([[0.6], \n",
    "                [0], \n",
    "                [0], \n",
    "                [0], \n",
    "                [0]])\n",
    "\n",
    "\n",
    "n_types = [0.6]\n",
    "\n",
    "Arguments['n_types'] = n_types\n",
    "\n",
    "#---------------------------------------------------------------------------# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_BC_strict_confidence_5\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_BC_strict_confidence_5\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "    \n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments['Transition_Matrices'] = Transition_Matrices\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Set the control function\n",
    "\n",
    "u_t = []\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0.4], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0]])\n",
    "\n",
    "\n",
    "\n",
    "for i in range(20):\n",
    "    \n",
    "    u_t.append(u_basic) \n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "    \n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0.4], \n",
    "                    [0], \n",
    "                    [0]])\n",
    "\n",
    "for i in range(30):\n",
    "    \n",
    "    u_t.append(u_basic)  \n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "    \n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0.4], \n",
    "                    [0]])\n",
    "\n",
    "for i in range(40):\n",
    "    \n",
    "    u_t.append(u_basic)  \n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "    \n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0.4]])\n",
    "\n",
    "for i in range(60):\n",
    "    \n",
    "    u_t.append(u_basic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "f1abcbc3-c39a-4a0b-8b11-d846b06b7bb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 745001 of 750000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 3000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "graph = nx.watts_strogatz_graph(int(n*N), 5, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "8aef285b-7157-4bf4-9ba8-227bd25ea8bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['red', 'darkorange', 'darkgray', 'royalblue', 'darkviolet']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 151])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94ef1508-d14b-4228-9f94-e52237406449",
   "metadata": {},
   "source": [
    "### Increase the number of agents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "2d451fab-27c5-4a81-8468-f304820e3ce4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1490001 of 1500000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with of the agent-based model (I use the mean-field settings here)\n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 10000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "graph = nx.watts_strogatz_graph(int(n*N), 15, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 5)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "237abe3b-5180-4bd4-b62d-704df5537d57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].reshape(m*M, ) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['red', 'darkorange', 'k', 'darkgray', 'darkviolet', 'royalblue']\n",
    "#Labels = [f'$y_{i+1,j+1}$' for j in range(M) for i in range(m)]\n",
    "Labels = ['y1,1', 'y1,2', 'y2,1', 'y2,2', 'y3,1', 'y3,2']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m*M):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "    #         #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=Labels[i])\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 151])\n",
    "plt.ylim([-0.01, 0.61])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0597917-c313-4d10-9e9a-a8f1bf110848",
   "metadata": {},
   "source": [
    "## m = 3, M = 2 - assimilative influence (+ two types that display different opinion dynamics patterns) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6da54149-bcbc-4f87-86f6-a5a93da6a0cd",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "f4f750da-28f1-484b-99fa-24a27417856c",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 2  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 0.6  # the fraction of ordinary agents in the system  \n",
    "\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# Initialize the first transition matrix\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "Transition_Matrices['0-0'] = P_ass_strict_3\n",
    "Transition_Matrices['0-1'] = P_stubborn_3\n",
    "Transition_Matrices['1-0'] = P_stubborn_3  \n",
    "Transition_Matrices['1-1'] = P_ass_strict_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "Transition_Matrices['0-2'] = P_ass_strict_confidence_3\n",
    "Transition_Matrices['1-2'] = P_ass_strict_confidence_3   \n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 40\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "\n",
    "K = 1\n",
    "\n",
    "w = K*np.array([2, 1, 0])  # the opinion weights (integral)\n",
    "v = np.array([2, 1, 0])  # the opinion weights (terminal)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "y_0 = np.array([[0.05,  0.3], \n",
    "                [0.2,   0], \n",
    "                [0.05,  0]])\n",
    "\n",
    "n_types = [0.3, 0.3]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Set the control function\n",
    "\n",
    "u_basic = np.array([[0,    0], \n",
    "                    [0.1,  0], \n",
    "                    [0,    0.3]])\n",
    "\n",
    "u_t = []\n",
    "\n",
    "for tau in Grid:\n",
    "    \n",
    "    u_t.append(u_basic) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9365c126-0fcb-4a56-91a4-7c85d7d8c957",
   "metadata": {},
   "source": [
    "### Run computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "0b11b867-2e5a-4edc-a180-68f3f54bac68",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 390001 of 400000\n"
     ]
    }
   ],
   "source": [
    "# Integrate the interval without using the adjustment procedure\n",
    "\n",
    "#y_t_RK_no_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, False)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Integrate the interval with using the adjustment procedure\n",
    "\n",
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Run a simulation with the agent-based model \n",
    "\n",
    "# Define additional parameters and the social network that connect ordinary agents\n",
    "\n",
    "N = 10000  # the number of agents (should eb large)\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Random'\n",
    "\n",
    "\n",
    "graph = nx.watts_strogatz_graph(int(n*N), 15, 0.05, seed=None)\n",
    "#graph = nx.barabasi_albert_graph(int(n*N), 3)\n",
    "#graph = nx.complete_graph(int(n*N))\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = nx.adjacency_matrix(graph)\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix.todense()\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c456f25b-576b-47cd-88e7-46d627ed59d1",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "31e7aabd-03b3-4e20-946a-2283078dfcba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].reshape(m*M, ) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(13, 5))\n",
    "Colors = ['red', 'darkorange', 'k', 'darkgray', 'darkviolet', 'royalblue']\n",
    "#Labels = [f'$y_{i+1,j+1}$' for j in range(M) for i in range(m)]\n",
    "Labels = ['y1,1', 'y1,2', 'y2,1', 'y2,2', 'y3,1', 'y3,2']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m*M):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "    #         #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=Labels[i])\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 41])\n",
    "plt.ylim([-0.01, 0.31])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5f8d8ee-b017-402e-bb90-ab6c7c87754f",
   "metadata": {},
   "source": [
    "## m=3, M=1 - Two clusters of opposite opinions + assimilative influence + no control"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "245b2184-61ae-4911-baf8-0bd1a1e955b5",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0c70f876-897e-4aef-b381-63a9609a45e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 1  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 1  # the fraction of ordinary agents in the system  \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "#for i in range(M):\n",
    "#    for j in range(M):\n",
    "#        Transition_Matrices[f'{i}-{j}'] = P_stubborn_3\n",
    "\n",
    "Transition_Matrices['0-0'] = P_ass_smooth_3\n",
    "#Transition_Matrices['0-1'] = P_ass_strict_3\n",
    "#Transition_Matrices['1-0'] = P_stubborn_3\n",
    "#Transition_Matrices['1-1'] = P_ass_strict_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "\n",
    "Transition_Matrices['0-1'] = P_ass_smooth_3\n",
    "\n",
    "#P_ass_strict_3\n",
    "\n",
    "#for i in range(M):\n",
    "#    Transition_Matrices[f'{i}-{M}'] = P_ass_strict_3\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 40\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "v = np.array([2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "frac1 = 0.5\n",
    "\n",
    "y_0 = np.array([[frac1*n], \n",
    "                [0], \n",
    "                [(1-frac1)*n]])\n",
    "\n",
    "\n",
    "n_types = [n]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             #A, b, c, s, \n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Set the control function\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [1-n]])\n",
    "\n",
    "u_t = []\n",
    "\n",
    "for i in range(len(Grid)-1):\n",
    "    \n",
    "    u_t.append(u_basic) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a318abf5-d4e6-4c37-8fbc-3031103d4fe5",
   "metadata": {},
   "source": [
    "### Numerical solution of the mean-field approximation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "3033ba1a-7f10-42f9-a492-d7f5793659a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b311191-643c-4cfa-8d3b-dbbb955f27a7",
   "metadata": {},
   "source": [
    "### Create a system manually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e501d206-5c20-4d7d-aef4-045777caa5a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create complex topology\n",
    "\n",
    "N = 1000\n",
    "\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Custom'\n",
    "\n",
    "\n",
    "N_ordinary_agents = int(n*N)\n",
    "N_bots = N - N_ordinary_agents\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define opinions nad types of ordinary agents\n",
    "\n",
    "Courteges = []\n",
    "\n",
    "for i in range(int( N_ordinary_agents * frac1 )):\n",
    "\n",
    "    Courtege = [0, 0, -1]  # all agents in the first fraction have opinion 0\n",
    "    Courteges.append(Courtege)\n",
    "\n",
    "for i in range(int( N_ordinary_agents * (1-frac1) )):\n",
    "\n",
    "    Courtege = [m-1, 0, -1]  # all agents in the second fraction have opinion m-1\n",
    "\n",
    "    Courteges.append(Courtege)\n",
    "\n",
    "# Add this information into the dictionary\n",
    "    \n",
    "Arguments['Courteges'] = Courteges\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define the network\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = np.zeros((N_ordinary_agents, N_ordinary_agents))\n",
    "\n",
    "# We consider a social network that includes two clusters -- complete subgraphs -- connected by a one-tie-bridge\n",
    "\n",
    "# The first cluster\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix[:int(N_ordinary_agents*frac1), :][:, :int(N_ordinary_agents*frac1)] = 1\n",
    "\n",
    "# The second cluster\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix[int(N_ordinary_agents*frac1):, :][:, int(N_ordinary_agents*frac1):] = 1\n",
    "\n",
    "# Create the bridge\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix[int(N_ordinary_agents*frac1)-1, int(N_ordinary_agents*frac1)]=1\n",
    "Ordinary_Agents_Adj_Matrix[int(N_ordinary_agents*frac1), int(N_ordinary_agents*frac1)-1]=1\n",
    "\n",
    "# Remove the principal diagonal\n",
    "\n",
    "Ordinary_Agents_Adj_Matrix = Ordinary_Agents_Adj_Matrix - np.identity(N_ordinary_agents)\n",
    "    \n",
    "Ordinary_Agents_Adj_Matrix[Ordinary_Agents_Adj_Matrix == (-1)] = 0\n",
    "\n",
    "# Add this matrix into the dictionary\n",
    "\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Ordinary_Agents_Adj_Matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bc7723f-eb5a-46c1-95f7-aaeeec912359",
   "metadata": {},
   "source": [
    "### Check the graph density and assortativity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "9459a708-2250-48a8-943b-5a26e2a3f85c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph is connected: True\n",
      "Density of the graph: 0.4995015015015015\n",
      "Opinion assortativity:  1.0\n"
     ]
    }
   ],
   "source": [
    "graph = nx.from_numpy_array(Ordinary_Agents_Adj_Matrix)\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "labels = np.array(pd.DataFrame(Courteges)[0])\n",
    "labels_new = np.around(labels*10, decimals=1)\n",
    "labels_new = labels_new.astype(int)\n",
    "opinion_dict = {i: labels_new[i] for i in range(len(labels_new))}\n",
    "nx.set_node_attributes(graph, opinion_dict, 'opinion')\n",
    "\n",
    "OpAssort = round(nx.numeric_assortativity_coefficient(graph, 'opinion'), 3)\n",
    "\n",
    "print('Opinion assortativity: ', OpAssort)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6eabc78-8940-4c6f-b1e8-14afeaeba8cb",
   "metadata": {},
   "source": [
    "### Run a simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c4709fb9-d736-44b2-9fba-5ac9fe9c5f09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 39001 of 40000\n"
     ]
    }
   ],
   "source": [
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c17ed005-8d09-484c-909e-64746e23336e",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4f60eed8-0bb4-448e-9384-1487baf71c29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QByCVHT000w0HugH0JEYGY9VxCe95i38lmWW7kERweiUREREREREteAy+poEgitj21muw7a3A+ePH8e+/OIgnTq5FxhnZHD1hV+LHb1Tip2/ouK7xF/iTdyzBxu1XzPygZ9JogUvzW4Cmq7zqreL0ySRgZbzwaujeynrN8AukQOlKMssn+CpHqUoyM+NVk5UgA6jKb951AIQBNwSkTRVi9Z8B8Fkh1HUx0NMFWAHvfZUZUkWCpafR/uGNLE60mghoAjRFQEAVoKkiNLVwe/CxgCIUj5MW2cqUlu0iZ7jQDRc53fFum95jVTEJLY3+FYBHTus4226O+jUt3F9sX1MiIiIiIqKZxuBrmi1ZvRqf3bUadyQS+NV/PId/f6UK5/WRlV02FPzuwlb87gfA+n99Eu+/2sb1t1wPRdNmftCzTZRHn0ZZ4LrelMpCGOaYoxzreNVgo/YeG4VU4s/B1id0OUEAIqoBhEusXGkM4Dr1XzEADSlDxYBTiQGnAikniowdhisHvUBMDviGcpFQ6eArlXFgOy7SWRfpMr4cqixgeaOCay71CergVZ6ZllsMejRFgDiHp1ueajOQTDnImflwy3ChG04x7LLs0lWHq5rVksFX34CDtnH2fFPkQggmQlMEVERFXLnRv2rRsl0IAjiFlYiIiIiIqAwMvmZIOB7H+2//I9z6ERsvP/k8Hn0mg319m3yPPZJag3t/DXzvqYN476ZW/NGtO1FZXz/DI54HBAFQgt42VkhWf7m3uY4Xfl1cPTaimiw/DdIxANv0wjg/9sRWcywqVUmm96MunEZdOJ1/oH3wJR0BKVNFyvC2ASOMlFOBlBvHgBWFjhCi6hIA/gHKwBh9x0oxLBfOKDNQX3szh7Ptw8NHLR/oBFQBo63l0FynYPMq/3Bx7+Esuvv9+5yNxrKBZQ0ytqz2DxePnDHQ0TOxRQl0o/QXQjfG//U1LRem5RZ7welm6W/Jrx/X8fqbOahKPihTBYQDAsL5xQ8Kvd4iQZGVZERERERERHkMvmaYKEm46ubrcdXNwOnDh/HvvzyKX5/ZAN0dGVL0WLX4x9dq8aPXB/C25pfw/ltWYM3WLbMw6gVEEAEl7G1TIbYMWPsBLwAr9AwreXvIfScfuJSqJMuV7jsmiS7imo64Vqg26wFwtvi8YUtA7Z/7nusYWaS7zwNiwGvWL+Y3YXwrjAbU0oGKXxhU6EOWTPucMER0lAq1vqSD9gkGVPFI6esGJrEqZm6U4Gu058aijTKmwtfXMF0Ypg2kAb9JtoIgIBQQiiFYNCQiHhGxoql0PzkiIiIiIqKFisHXLGrZsAH/fcMGfLKnB4//x+/x89ca0Gk2jDjOdFX86txl+NX/Bi6J/Rrvf4uEa2++DpLiP9WKZpAW97ZyObYXgpWqJHPMCU/NVCUbCPs04gcgZLvwgfp/Q9pQodsydFtG1pKhOwHk3DB0BKE7QeTcAHQ7AN1V4QpqMSTT5JqSrzuZwGe6jFaZpY0S4g0likN7oXn70Vbj3LhSw9J6JT990vH2w6ZTunBLLPAw2pjGW0nmuoVprA468o/FI1LJ4Ku730I66xZXBlUnEQgSERERERHNNQy+5oBYdTX+9BPvxQdNE7//9XP4t+csHEiu9z32QHI9DvwnUPfrV3Drlna869ZrEKseY5ofzT2iBIglVqAEgIZt3mblBpv85/rz+z5A7/f2rs8UQDno9f7yIRj9CCkWQsr4Kqgc16sg0y0ZOVtGuO5T/gdmuqH0HIZqhmC46mAlmagMVpaN1qC/VD7lOoBr+b/PccjpJQIq10FN1EWuLh9mKcLwRvRD7iuyzwqYpQJLAMvqRw+kXdeFYQ5pnJ8PxXTDRWyUCrXJBIujVdSdOG/i8KnBXnWaKiISFIpTJ6P5yrFISEQoIEISMad7txEREREREQ3F4GsOkRQF1737bbju3cCbr76OR3efwlOtm2C6Iys1Os0G/O99Dfjh/m7cuOw5vOuGpdiw7TIIozVSovlHDgCRRm+7mOsCxsBgCFYIxYTS1UjQ+8t6eVEAArKNgGwjDh2IjVyZ1LtuH/6o8UkAXg8y3ZaQs7yKspwlw7AlOG7psCTe+En/J/qOY13fY2j2+TcwFklwEV75Ef8nU21Ye+H7WAsAE5lFueXTQKRp5OOWDuz7pjeFVdK8Hm4X3RYkDZqkQis8LquAlr8dqALgH5y99YoQsvpg5VhOd5DOuRjIOEjlt1yJqrDRVvlMXdTzrTA9tSdROmwURQGiAKxoKr3YwStHc+jqt72gTAAkyTtHFAdvS6KQD9K8a0qiC9ExEA6rWFLvH96mezth2SIkWYIoSZAkGWL+tiiK/B5IRERERETDMPiao9Zs3YK/3roFn+7owGP/8RJ+cbAZPVbtiON0N4jHz1yOx38ALH/k97hlcz9uuuVKVDWMnDJJC4wgAFrM22LLxneOFADCjYCeyE+jLKOKSFJLVzqZmcHDRBchcfxVZQCAmlEqqOLJ8V9nxHVHCQGngzOkp9tErP0gUOOz6IXrInDk/yBQDNLy+6AGRAbDNcNVkTLyK4HqCgZ0GWldRk28dOh4cfA1Ho7jwgFGXeygN2GhrSPnTdt1TMC2Bm87prdohN99AEvWb8GS+hW+1331qV/jza6o73NCIVgThSF7wdtLAioal+G6t272PffsK8+jrcdBQJMRCauIRDREowGEwkEIahiQQ97XfbTKRSIiIiIimnMYfM1xlfX1+Nin34c/1XU8u/tZ/NsLIo6k1vgeeya7HA/vWY6/35PGzrrHcMvVUey44Wr2AqNBjdu9DfAqxqxcfjXL9NgrXZZagRLwniev4msySi124JhA6vyYp6sAqvLbMNp7AFzhe0544FUYGQUZU4UrSIAge1NxBckLOgVp8D7gLcyQD6tEpxaAT8WXnoB97DFgoESF4BhEt/TX0bZLB3WuC9g2YNuFRG54MidGzJEn5XWcO4cj50e+F0lwEFYNRFUDUc30Fg0ISYiGZUTDCtRgEIivAKo3jv6miIiIiIhoVjD4micUTcONt74dN94KHN67H//2RCueadsE22dalA0Fv+/cgt//HKh67ABuXnMW77x5I5atWzvj46Y5TBAAJehtwUn2iQs3AI07/QMz25ia8c4HE630KigVLk72a1gqUHNd3FT9O6DKge0ISJsKBgoVY/l9ytAwYKjQrZH/XUjLZQA+CynIQdiTWOtAckq/X6fEwgDjuq5UehqkXWLAtisiqQeQ1APAwMjnVUlHZUMCt7y3xIUP/wTIdAJKyKsaG7GPeP/+AlVewEhERERERFOKwdc8tGHb5fibbZfj/3f+PH71+F7sPlSHNn2J77G9Vg1+ergGPz0MbI79BrdcbuOtt1yDYNR/qhDRhMRXeJsf2/SmVbqjTKkrNYUyvgK4/P+Z+LjUEn/Pww2TvG6JSqZgDbD5E4PTHW2jvNulAqrJBmpiiUDNsYp/LpLoIqYZiGn+oZO3yIHXq812RdiugEDjyhKvp2BDbS+WxfphuyIcRxh2nuMKsB0x/5h333FF2I53P6aVqCB0HTjlz8wsGi34ciZ4YcOWoDsl/twAvHnexfELtYiqOiJKClGtFxFVR0QxEFLMwZmTgghold7focIWafT+rhIRERER0YQx+JrHapYswUc+tQQftm0ceGkvdj/TjmfOr4fu+q8WeDC5DgefBr71zHncsPQobnlrEzZtv4LNoGl6SfmVHSd8bsWUDgeAF7QFpuG6sjb+fmtlXTcErHpfeSGaM2Ran1xqCuX4K8lUyYYqXdTwXikRUAkCWmpMwMj3ZxPlEtVOIUAJ+z/ne10RN/zpx+A4DhzbhmPZsG0Ljm3Dtm3Ylne7cN+xbdiWDTt/fCBeV/L91S9dBkRdZLI2UlkHAxkXtpWf1jlGlVk0XPrvd88A0JGKoAMjw1JJdBBVDVQEsqgMZFEVzKIycBJh5agXiNVcAqz9E/8Lm1nvz1Xg928iIiIiotEIrjuJeSMzJJlMIh6PI5FIIBaLzfZw5rRUfz+efuIF7H5FxeGBsac2NmvncMvmHtx8yzZUN/msUkdE85PrDAZhSti/qs7MAm2/H1+gViCIgwFV41VA/WX+r5/pAkTFO05U5l1TeNd1kdVdDKRtpFI6UgNZDKR0pNI6BlImMlkLbr4h//p1Ddi53SfwdF08+X9/jHOJ8ipsNdlCZSCLupY1uPwtO/wPOvAPQLoNCFQPrxIL1XqPTTRsJiIiIiKaB8rJiRh8LWCnDh3GE78+it+caEG/PaLd9TAiLOyoOYxbrgph543XQFZHaWRORIuL6+bDL9ebjjnPQqzpYDsu0lkHAxkHQU1EVcynP5fr4ue/Pof+ZInVLG0TsHMle7jVr1qPW25e5/vcwHMPQHLSCMqW/x+HVjE8ECtsSph/fkREREQ07zH4omFMXcdLT72A3S9m8IfujXAwegPlSrkHN608g1vesQ4tGzbM0CiJiBaecx0mEikHqayDVMYLylJZZ3gzfcf2XRhi/dZN2LnNpxLXzODZf3sEJ/uqEJCt/BTJwemScS0HSSzxX7sUAFbcAtRd6v+8mQXkAMMxIiIiIprTGHxRSd3nz+M3T+zD7oPVaNWXjnn8xugxvPMyEzfccjXC8fgMjJCIaGErTqPMOEikHPQmbfQN2OhL2DCswf+Sr94SwtplPtW3yXP4j3/7Pfpy/v0cRcFFPJDzgrBAFpVBbx9ULO+AtR8Eajb5DQx4+WveXo3mt1jp25xOSURERESzhMEXjcl1HBx8eR92P92Gp1vXIeeWaCadpwlZXL/kCG55awO27LySDfGJiKaY67pIZ10vCEvaaGlSEI+MrNC1LQc/frwHjjmySgxWruT1g4qJykAWa3dcj5Y1Pj3JzCyw5/7xD1gKAFo+DFOiQP0VQGzsX6gQEREREU0Wgy8qSyaZxDNPvIDH90t4I+nfT2aoJu083ramAzdcvxYrNm2cgRESEVFBImXjsedTMC2f/75dJx+EZUdOn3QdAMCOt12DDetqRp6b6cTL//kLyKKDiKojohqIqjrCill66uRQpSrJAODw/wXkIBCo9Dat0ltZVYlwWiURERERlY3BF03Y2SNH8cSvD+NXx5ejz6oe8/iW4GncsLYPb71hI5auXTMDIyQiItf1pkr2JR30DdjFKrGBjFP6JCsHWFnceE0jljYGRjzt9BzHj392ALY7vKJXEFyEFBNRVUdUNRBRDUSKt/XBBvubP+lf8WXpwB/u8x+TKA+GYNpFoZhWCcjauL8mM8WyvYUNsrq3100XiiwgFBAQCoiIhkTI0hwJ81zXCzxdG3Cs/H7Ibdf2Fj2QfKbUWjrQ/bp3vOsAogQI+U2UB++Lsv/jSmRO/vkRERHRwsDgiybNMgz84ekXsfuFAbzUuQE2xu7lsjp8Am9bP4C33rgFDS0t0z9IIiIaxjDdYUFY34CDvqQNa0gz/Vuvj6IiOnIKZSpj4V9/0wPYurfSpG3kb+vDbzv2sPO8CjEDl7/tJixb7vMLk3Q78NrDE3tDcghYfStQtXZi509AVnfQ1Wcjk3OQybneXs/vcw4Mc/Qfm66/PIQVTSODJNd1cfqCiVBA9DZNgHRxQOa63tf44imsZgZo3O4FSxfLdAFHH/EPtRwbwBg/5pUKLPUksO+bo587mlXvA+ov839u7zeHh2l+4ZkSyQehFYOBqBplhSAREREBKC8n8vkJigiQVRVX33w9rr4Z6G1vx28e34PdBytxNufTFybveHoVju8D/vc+YGP0t3jrxiyuv/Ey1DY3z+DIiYgWL1URUF8lo75q8L93x/Gqw3qTNhIpB5GQf4/GVBaApHnbaBw7H4AZgKXDsg30Ozqghn0PzyT68NihzZBFG6rkQBFtyKIDRbKhijYUySn5nCw5iCDg/6sX2wBe/faQSrEKb6/GAFHJhyoyXEGE6UjIGBIyuoCMISKjC9i8SoMojgxRuvttPLU3PfrXYBShgP/X10gP4Jnn2wHbBBxvC4g5BKUcwlIGQTGNsJhCSNYRVEyEFRNBxURAylfU1Wz2eqqN4ALZ7gmPF67l+7DlSkhkgnBcAS4EaJIFTbagSfb4sie/kK7ATBWn3pZFkIAl1wLLbij/XKL5wHW80FnvA3L5Te/P7/u854M1QLgBCNXn93X+VZtERFTE4IvGVNXQgNs+8R58yHFwZP9rePr5M/jdqWZ0m3Ulzzk0sBaHXga++7KFS+K/xg2XmLjuxm2orK+fwZETEZEoCohHJN9G+UMFNQGbVmpIZx0MZLzNt7pJlAAxBCAEDMnIohH/ymBDqUUmvB6wsoCdA/ScN+1ynMHH29dGsaRq5ONWuhe/PVQLRXSgSL1QxG4okleNljEVZE0FaVNB1lJg2iPf+6rqqxGuqh3xeAj9QMcBQBC96iJBBHDx7aH3Ba/KKh9mhZQd8PvxKtPXCfQcHvZYLr/1AQDC+W04SXAQVExc3ZxG07KRwVciLeLguWWwXQGOK8J2hPxtb7Md0du7AmxXHPH4e5fZqPBZtHkgK+KXb64f8bgguNAkG5psIVAMwywE5OGPVZsSfJfNcZ2JhV6AV8U2WjB78B+9QPTiSjGtwps+O1oYRzSbeo4AZ34F6Imx/30MnPO2IgFY90Ggevx9d13XheMAhuXCtFxY1pDbtgvT8iqIWxqVkr8sOddhQhC8/2NEAZAkQBIEiCIgSd5joghIogBJ9G4LrNgkolnCnwBo3ARRxIZtl2HDtsvwF7aNN/6wH0/9/jyePVu6H5gLEa8n1uP154FvPZ/BZZW7ccOlwLU3bkeseuweYkRENDPiEQlXbgwOe0w3HKSyXsVYKr8VQrF01oHtDAZjkaD/hyNTqQCiPj9u2LrXR6oQiOV7kMHKec8BgCBCDkZ8r2ukE2hPRSf0XgEgY4g+MRMQknXAGBjzfFWyEVRMBGUThi0hY6rQbQkhKYthiWDh9ZzgyIuMg+2KSBkaJCfr+3zOEvFm7wT/PxVE2Lb/VEhRkgAtPhjuwQFcF67rIOc6yNkuEpYD5LzHvecLt4HrlslY2eRzYcfGs2eXQxXzQZlsF6vJCqFZQPaq0PxCu4hc4VsBaFkOTp3NwbEtOG4XbKe7GAB654pwpBBsOQpbisCRI7ClMBw5DFsMobkpis2rRva+g2N503V9p5Jag3vnoscKt+u3AeESv/RrfdY7b+iiD5zOOf/ZxmCV1tCKLSMBbPl0/t/URUTJO2YUrgvYrgDTlmA4Eizbq2Y1bBH1UqXPdx0gk87h97/bB1OqgCnFYIpRmI4I03LhOGN3u6mIiiWDr2f2Z4ZNox8PSfSCscvWBbBxhc+IXRfPvpqFbrjDAjRJHDxXHHJ7aKgmigKqYhKq4/6/5BnIOHBdF6IoQCqEcsWAjv/miBY6Bl80IaIk4ZKrrsQlV12Jz5omXnthD373Uieea12JpF3he44DCfv6NmHf08CDT/dhW81LeOtWGdfcuBPhuM+vm4mIaFZpqghNhe8HCdd1kcl5oVgm50CR/T84mP4z6QanVfpN33OdYm8xRSkRqKX7x/ku/GUM/w9HAdlBTNOhSRbCqhdshRQTIcXw9vn7ijSyKsN2BEjODgAVI55zxQBimo6MqcBy/N/TMIIISEp+2qaCcND/RzZRDXmVHsKQSrShFWqF4MrveQBOzD9YlBQZqNs69jj9uA60Gv/rWq6Ik8qN3p+x4wC6O6QKbEgzfkvPB6LZYRWC71xTgQaf65q5DH5/xi9pu5gDIJnfBjXGLgfg0+vMTOP1J38JES5iWg7xgI6oqmPcn5Pjq0oHX+17AWP4OCBIg9VqfpVrysQCVJpCY01HNEeZKm0MeIHyRXJCHG19ldBtGTlLgm7JyNnysL1uSSMWHwEACALetb0KvvMwMp04f64bwJDp0EoIUMJeHz0l4k1TL1FJ6bt6cN44crN8WDw4vdu2TdiSCqDEv9Wjj6D9FQ0ZN+6NUw4N7uXgmKHwJasDJYOvp/el0ZOwfZ8ThMEAzS9UW9ag4NI1PsE4gMOndCQzTr7qzT9UG3ptSQRkWYAiCwioQsnp8UQLjqUP/1459BcEogxc+hfT+vIMvmjSJEXB5ddfjcuvB/6bYWDfcy/j6T/04vnzq5F2/H8bb0HFS92X4KXfAsqTndhR+yzedkUQO27YiWDE/4dlIiKaOwRBQDgoIFyi0qugOibi7TvCMC3vQ9Twbfhjlu1NrzEtEZYtwbSCUEsFarG1QE31YDBSqBhzzJLT6TTZKoZXiuL/4UiAjfevP1T+FwSAJLpeM3ofzU1RNF/eA1cOwRDCyDgRZJwwMnYIGTuIrB1A2tSQtVRkTBlZU8TQ9YeCtf6/IJIUBQiNnLI5XnaJWVWSMPgB0HVRXmWHICKg+X99c6ZQolfZWAM1ACsHW6n0H6/RX/41h4gF/T8QQ5RxqKsOOWvwR2ZJ8MLReED3wrD8FtN0qBcHom6J6zqWf2WhawO5Hm/zIwW8IKzpKqB2yzje2fxnOz7T8SwXhuViWYMCySeFNEwXx1uNfOAgFEMJUcz/3ZaGPzYstBC8lVpFyed7W/9J4PCPRnx/sR0Bhi3lQ6oIcpYM3Zbye9nbWzKuXtWHcP3If8tpJ4Znz7YMPiBKXtAjBQA5AATytwEvWDNT+S0DyCGYtv/3YcXoHPmgmV8wA11DXk8eDMGUSD4YC5f8xYWTaIWTynjfb4f0LRxx328NtWA1RKFE8CUH4dgWYA2M/PchCN7XZGgYpuTv56cxjxZIO6PMIHVd7/8f2IDfgiA1FaU/Mp/tMHGhu9RveEbXVKvg5h3+/TEPntDR3mNBkQXIMqDmwzJZEqAqAhQZkCXvMTV/TOE2p5VOMdf1/r3l+rxfRkUa/Y+zTe/v6WKfVj9wHsi0D/+lQK6v5M9HALyvmetOa8XzIv9Toakmqyp23PgW7LgR+O/ZLPY88zKe2pPEi+1rkXN9u33AdDU833kpnt8NBJ5oxVUNx3DDtii2v3Un1CB/s0lENJ9pqogltRP7jbbjuCV/BgrH4tixLQQz34/GNF2YtgvX9fqVBTUR4QAQVB2EFAchzYEs2IPT0IL+HzYQrPFWJPSbtnbxdDbH8j4AS9rgB7GAT0MywGs+vfUzEOBNhNQA+Ec4g+89m19NMmu4vh/uASCoer3ZhlYViILg9dsZ0ntHvKj3TmHqUDTs/2cTDIj42LsGP6Dbtouc4UI3XORMF7rhDN7P74uPmS401X+8ujHBxcQlFZBUOEKJyrdwjRcEWbnhlWJWzvsAPoZ4ieArZ4rDQi/Am37alwuiLzfyZ5SwYgwLxJqabMRrfC6sJzDmipt+7ByQvjD6ezr6L96Hs0KlWKDC2ythL1CZAY7j5kMq799mVYkqnJ6EjaNn9MEQ3Ha9f8uFc2235HRcALjt7TEEtZF/1zI5B394w396MIB8VWFuyN+XoVOtc7j5j65B05KR/0INIYzHDq+HKLgQBQeW44Vbhk8fQT/ZgX7fAkAtqHoLWEiqF3SJo6ymHhzyPcZ1ANuAUaIyS862QxBcuO7oHyZF14Rs9UBxO6Ga+UVGZAcB8X0AfFapPf88YqnBKciFacmFbVS2WXpqoRyC7ZaYau66g6HdxX+0kgqoEYjrriz9shNsLQh431dLGS1QG4s6yifxnoSN1s6xv3f5qauU8a5r/AsJTrUZ6OqzIedDMiUfmA3eFyBL+aBN8f5fWRQhmpUbOUVZH3LbyYeb1RuBdR/yv0bnK8Cpx/P/jkMjqxZL7eXgjH1vnhTX9YL3XJ8XUEVLLGB34UWg+2B513YsL1xUJ97CYiwMvmjaqMEgrnnnW3HNO4FsKoWXf/cSfrc/i5c618N0/Uuqc24Iv7uwFb/7JRD+z5O4puk4bthRhcuv3Q5FG2OlMSIiWlBG67sSDIjY4NcjZrLUKFB/2dRft0yiOL6KumBAHNGbbTpIUmE8k7uOpgjYsiYwPCgrhGfm2H2HSn3IFBUNNQ21I6YriaIAyTUh2mlIVgqSnYJoDUC0BiCZAxCtJCRYiAdGNvIHgER66DTRoVNFfW4LItKCiLQtoC0rAjkR1+Yq4FerZzsiukPXIOD0QbN7oVrdEEussOn/hawo8QWy84solPg6inJ+mrE6ON146O36baWrGdLtcEUVhqMiYyneCqk5L5wt7LO6i3TW+3MdWrH4sVvikKSR/57TOQfHzhrjf98XMS0XQZ9vA47tXBRqDQ+2YI/+mqKVhF80bStxJPVxft8phFhDKrd0zb86M6AKQLC8Xn2iKECRZSiyDLFEMCHEluLK9W2Q9G4oVh9k0RpcQVdy8ivr2pAEn18yKBGg2f9DqKSG8P71+32fc1zkA7Dhi23YrgjHEeBolYjUXe//ppQQLm84CtsRL+rRJ8BxvNv2RQt0FPoAOoqDcKlpg31vwu5NAXZksErMr9daCaNVktl2YYr2Rb0OXQeF3ogj7kMAJBWyVOIXJbYBUze8c8oYZ4E8SobS3uOFzeMlil4QpsheD7Ubr/T/pVFnr4XepA0lH5iFNG8aZ0AV5l4Ptd6jQPLs8HDLGiUoH2q0XnyFiibbGOz1N15KBLjy8/7PZXuBTAe8fptlEmWgcvUo1/WpCgUAlJjSXfilS2w5sPkO/1O10X6tN4pcH4Mvmv+CkQje+p6b8Nb3AOlEAi889TJ+94qJvd3rYPn8JgkA0k4Uv269DL9uBcL/fhxX1p3ANVuC2H7dFYhWlfiPgoiIiOasSEjE5ev8e+W4rlflkzMcCMLwarWxVoUTRQF/dO1orRJK9BItTGEp0eNI0RSsufpGJFMOEikHOaO88o54vf+Y0ohhd+tgdYoAQJNMaEIWASEDDSloGEDASUJz+729bBYXAAjLFfD9bDtWJZlj5X+zPrIPle0IkCrXAhgZfJ06n8Urv3p2eI86QfB6kolyfi8Bgjy4H/KB3Uw2Q6oc2Z1NFR2g73jp8Y7B7KsDwstGvpdMD3Dh5Qlf15s6u3zkdaF6vfds03ufUj7YkvNTEqUht30Ci5zgP/tBlgRUxyXIsoCAIkBTBQRUMb/37muqAE0RypvOVncpNtZdmh+8AWS6vClI6Q5v0YZMB2CXCFzDft308hT/9wF4IZEouABsFP+SirL3NVFC3lTnUgFV3WXYcF0DkO32xprt9jYzNfr7BICaS4Cl/p8p0HsEH2jYN2SxDAmOWgFHrYatxOA4gO3YsC0HjuPAsW3YtgvHduDEVyPedKn/dV//Ppb1mKjUVW8BDXfoqro+wV8+sLMcEaZaB0UpEXaefAzmm1kgnf/+MXQV4VK9GwurDithKA3r/K/bfRDm+X6gz/97sB8HgAHAkFQEtZX+B/Uew9lXL+Dg+XwoJgCFXpKiKCKoAkENCAcFBDUBYU1AKCh5ldkhGcG6lVAVn7/LhWmzhe8xxV84+ChOR+z3whpRLr3Sac9hoOvVcX8Nhhkt+DJHmco3ltECzv43gVO7J3ZdNQpsu9P/ub5jwOknJnbd0UK9QMUYY4pd1MsyX5kcKtEPc4ow+KIZF47H8fY/vhlv/2Mg2dOD55/8A373GvBK33o4/j/GIe1E8XT7VjzdDoi/7seWij/g6nUmrn7LJjStLPFNmIiIiOYNQRCgKoBaov/aNL3oqL9hropJuGbL4If8nOEFYN5mI5n2bhdWjLtYPOL/Xi6e8ukCyNkKclCQgN+CDy6QG6xeemc2ggafTM1M9+FgewMCsg1V8lbI1CQLmmTDdCSkTQVZU0HGVLzbloK0qSKbD7Q+slnzrymwzZGVTq4LuNbgFKBRmJkoAj7BlyIDSJ0f8/wCQXChiIMVS8hJAEYGX3IwjsbIwIhVQUdUCuWriC4mWckRjwFevzHUbh1ceMKHporQlMHAanAvlpzyCQDvecv0VToA8CrQoku8rcB1vbC0EIIV9rne0T+EahVAqG7807lEZXy9e5QQULHK24aycoMh2NAt1zvYby3oN6c4L9sNQQAkwYWEfGWW0wXkuoBcqa9XfquIAaV6fAkCttR1jP2+fLhVG+Gsvcb/ScfG+pouNMeSMPOrd5qOCNMeuh/+WHE6q+tNY/SVOAWzpw9ITWBRMSUMRS7xmSvVCqv7JJAaWdHoAEjnt+4RzwIQZQRW1OJPb/b5vtf1GlJHfo2sKSOkmAgqJkSpEILlQ3dRAiB4PeGGTgGPLCkdfAUmWJEkyoAa8QI5yeff/2g9rMYySpg8qUBtuuhJ73u/Xz+zYA0QbhwZbmkVXsA1Sz3QGHzRrIpVV+NdH7oF7/oQ0NfRgWef3IvfHVBwILEWLvyTbwcyXu3fiFdfBr7zMtASfBbXrOzF1TuWYd1ll3pLsBMRERFNsYAqIlAlov6iwnPbdpHMDAZiXnWY61/FACBXbq+zYmNvb66pFvD/ET4jVOI1/VognQPsIX3OfBZ78GO4Kvxq30LKxHoNAV5YZZbo8R8KCNhQ0wVFtKHkp+AN7r1eU+qQ24roDM9Pomt8r1tZGcQ71rWN/UFUicBVK+BolbDVSjhqJRy1AlrMP0QJaiLedlUtbMeF43hTgIvBliJAVYWS/fjmJEHwPogGKoDqIdN9bWP0QLNhm7fNFDng9RO6uKeQY3sVONnu0aeKZn0jl/FxSvzlBSb1AV6Q5NJ/VxwLKyr6x30t1wVsV4BpSzAiKyGVqKoFgKZoEgHZ8oIzWxweqDkSTFsq2aet1OrNAGA4E/z8JYgIBkpVcdk40VeJV9q9xRAEwUVAthBWRq64rEkh73uEZEMVbcjOAFTL9R9zyeAr/4uQi/sjFlbYVaOjB7gr/whYeoMXVFmZsfdDp1fKowRfkwnUpkNh9WEr6/+Lo9jyaV+hcSIYfNGcUVlfj/f9l3fjfQC6Wlvx7FOv4ndvBHBoYO2o553OtuD0Gy348RtApfw6rlpyBldfVonLr9mGQLhE82IiIiKiKSJJAiqjEiqjEoBRGpPnWbYLVRZKNiUfS6BEoKYLMSDq84vDQpBRXKxh6CINtle55dpIOxHf4CvsE3wFZKv4oTMomwgrZrEqI6yYCMgmFNGBLDoQIht8xxvUROxY0lrOWx+/QCWQtYZUGlw0rUarACQVAgaLe8aiKgKWNYz95zvv5ReTmPNECQjVeFspruNNg8zmp07qifJeo9TKrIAXAIxGEIdUJxWmBYvemJRRPqOM9pp+LyMAsuBCFi0EQy4wSm/IDTWjh4BuvkebkQ/GLEeCYYsw1XoEVpXubxfXdNSHUzAdEbolI2spYy90kB98yd5sjo2MOfj30HUFZPNVq+NRafbjfTf4hFyhOpxyr8C5dA3UQAhKMAIlFPX2ijxyJU1ZgCoKkN3R+70VpzmPt1+f63jh0VgVXZJWeuGcsYz290wOjH5dJTIY+g39/jlWADhHMfiiOam2uRl/cnsz/gRAT1sbXnz2NbxwyMH+njUw3NK/xeizqvH4mWo8fgbQ/qMVV9S8ias3Sdh53WWoahilVwERERHRDFnRpGJFkwrb9pr6Dzb5d/KN/11kfVbLzBneKodqiVUzc2aJIG2cQUbW9l+9IFhVj+vfewtCqp2vtjAgId/A2dbz29Db+vBKGa3U1CrBa6g/UaNNb9v08fFPsaOFSxCBFe8cvG8bQLZncLqklRk5dW5o77rR/o6tfLc3vU7wOU+UJtSYHgCw5k8Axxi5kvCwFYb9Vhq2R++vFFuOsRqkF4LgYH4rUqNAZYnoINyES7dkMNgJzYVj28gZNjI5IGMIxX1WB9KGiKwhImOI0N3AKBVfFjLjDLkG34BQ7L2nSCUCxHADuitvwsk+3WtgVpzZbOS30mRJQDwilpyafKrNwOk2c/hKy/nbks9joqhAEuMQRUBJmWiu83m/y2+C1XwjLNurYJuyqtK6rd62SAiuX0OCOSaZTCIejyORSCAW85n/S4tGNpXC/uf34oVXE3jx/HL02+NLvwU42BA9jqvXZHD1NWuwfN06CKOtTUxEREQ0x7iuC8suPeWos9fCoVO672qZguBNywsHRa/BdMCbYhQKiAjl99GQCNln9UUioulg2V6Yr6l+laomnvxDEm1dFmynsGJmYWVMd/A+XC/klgPDFippqlVw8w7/iqffv57BmxNcUbYiKuHW6/2Dr/1Hcnj9eKnGcaMLaCL+9O3+WcexswZeeN2rDJNErxJNkZHfD27DKtUkAariHbe8QZl7q2tOgXJyIlZ80bwSjERwzTvfimveCdiWhcP7XsULf2jFi6eqcSY3cvWdAhciDg2sxaH9wPf3A03ay7h6eQeuubIRm7dfDklZBGXrRERENK8JgvchppS6Khl1VcMPKKyWKUtYkB98iGj+kiWhdNguKbjxqmq4rhfiZ3MuMrqDTM5FJufkNxdZ3YFher0ETcsL0gBAHeV7pTn2mhwljdbrzHYmXlMkjVKTYQ6ZFm87LmzDRa6M3O7j7/avuj3bbuL3r2cHQzRpMFSTJG/1WEkQvBWWxZGrLa9drvpWoOmGg2TagSQK+Qo3FG8PrXwbc2XaKcTgi+YtSZaxecc2bN6xDZ8G0Prmcbz4+8N44aiKA4m1JVeIBIA2fQn+9dgS/OsxIPrTI9jRcBJXXxrBlW/ZhnB8AiudEBEREc1BhdUyiYjmI0EQENQEBDWgahzd+GzHhWW5GC2CWlYvIxwQYOXDsuEbYFjeNSx75FVGW3h4ErnXqFMYrQn2gwS8CrBSAZNuetPp9YkVv2HtMv8p9B29Np7amx7z/MEpnwJuvT6CoDZ9M7IYfNGC0bxmNT64ZjU+CCDR3Y2Xn92HFw4a2NO5GlmndGO/ATuO356/DL89D8iPd2Fr1QvYuc7Gtu1rsXTNak6JJCIiIiIimgckUYBUog9iwcolKlYuGftajpMPwwoBmemOOh28uVZGQBFgO14A57jeqr+Og8HbLgafd7zXsB0gMsqiBBNdCAUA5FEq1CYTqAFe1Zaf8Va+OfmvAeBO+4q4DL5oQYrX1ODm978DN78fMLI5vPbSXrywrxsvnFuCLrO+5HkWVOzt3YS9LwJ4EahX92Bb4wVs2xzFZTu3IlY9zlU6iIiIiIiIaN4SRQGaKviudutnSZ2CJX4N6ifpsnUBbFqpDatKG1GpNiScs2wXRv6YwCgh4GQCNUksXUnmhVnlme5aEza3p0XFdRy8+foBvPDiabxwMobj6VXjPleEjXXRE9i2PIVtly3BhisuhazOg6WeiYiIiIiIiIZIZx0MZJzi1M6hoVqhIs0eUpU2uPcW0Lxpu/+sqhOtBl48kIXjeueMx+3vipfdh7KcnIjBFy1qnWfP4sXnDuCFwwJe6V0LC+MPskJiCpdVn8S2tQK27ViHppUrOS2SiIiIiIiICPnpjC7yIdpggHZxqNZQXf5kRAZfRBOQTiSw57m9ePlACnsvNKPHqi3r/Ea1Ddua2nHF5hguv+oyRCorp2mkRERERERERIsXgy+iSXIdB6cPH8HePSew97iE1/pWw3AD4z5fhIUNsRPY1pLBtsubsf6yLZAULqlERERERERENFkMvoimmJHN4sAfXsHe1zqx92wFTmRWlnV+WEzi8tpT2LZWwradG9C4YsU0jZSIiIiIiIhoYWPwRTTNei9cwL6XDmDv4Sz2ti9Dn1Xeao9LtFZsW9KJbZsrsPWqyxCOx6dppEREREREREQLC4MvohnkOg5OvnEIe/ecwt4TMl7vXw3THe+it960yI2xE7h0aRqXbqrFpm2XIhiJTOOIiYiIiIiIiOYvBl9Es0hPZ/D6H/Zj72vd2HeuEiez5U1rlGBiXfQUtjSncOnGamzetoUVYURERERERER5DL6I5pDu8+ex76WD2HtYx76OZei3q8o6X4SNNeFT2LIkiUs3VmLLlVu4YiQREREREREtWgy+iOYox7Zx4sAb2LvvNPaeUHEwsRqmq5Z1DQEOVoVOY8uSfly6Po4tV16CeE3NNI2YiIiIiIiIaG5h8EU0T2RTKbz+8it47VAPXm+N4OjACthQyr7OiuBpbGnsxaXro9iybROqGhqmYbREREREREREs4/BF9E8lR0YwBv7Xsdrb3Th9XMhHE6uhIXyKsIAYFngLC5t6MaWdWFcum0japYsmYbREhEREREREc08Bl9EC4SezuDQ/tfw2sFOvHY2gEPJlWWtGFmwRGvFpfWd2LI2iEu3bUD9smXTMFoiIiIiIiKi6cfgi2iBMrJZHH7ldbx+oB2vndXwRv8K6G6w7Os0qBewubYdG5fL2Li5Gas2bYSklD/FkoiIiIiIiGimMfgiWiRMXcfRVw/g9QNteO20jIP9K5B1wmVfJyBksC52Bhuasti0pgIbL9uAyvr6aRgxERERERER0eRMe/D17W9/G3/3d3+H9vZ2XHrppfjWt76F7du3j3neT3/6U3z4wx/G+973Pvz85z8f9+sx+CIaH9s0cey1g3jt9XN4/bSEA70tSDvRCV2rUT2PTbWdXlXYpmas3LQBslp+vzEiIiIiIiKiqTStwdcjjzyC22+/HQ8//DB27NiBBx98ED/72c9w9OhR1NXVlTzv9OnTuPbaa7Fy5UpUVVUx+CKaAbZl4cTBN/Daa2fx+kkBr/cux4Adn9C1NCGLdbEz2NiUYVUYERERERERzZppDb527NiBK6+8Eg899BAAwHEcLF26FJ/73OfwhS98wfcc27Zx3XXX4ROf+ASee+459Pf3M/gimgWObePUocM4eOAMDp22cKirFuf15glfr1Ftw8aaTmxsEbFp01JWhREREREREdG0Kycnksu5sGEY2LdvH+6+++7iY6Io4qabbsKLL75Y8ryvfvWrqKurwyc/+Uk899xzY76OruvQdb14P5lMljNMIipBlCSsumQzVl2yGe/LP9bf2YlDrx7G4Tf78Mb5AI4kWpBzQ+O63gWjCRfamvBkG4AXAE045VWFNWawcU0cGy/bgKqGhml7P0RERERERESjKSv46u7uhm3bqL9oelN9fT2OHDnie87zzz+P//N//g9effXVcb/Offfdh3vuuaecoRHRBFXU1eHqm+tw9c3efds0cerQEbzxxlkcOm3hcFctWsdZFaa7QbyeWI/XEwCOAPilgUb1JWys6cSGZSLWrq3Hqs0bEIxEpu39EBERERERERWUFXyVa2BgAB/72Mfw93//96ipqRn3eXfffTd27dpVvJ9MJrF06dLpGCIRXURSFKy+9BKsvvSSYlVYoqsLh145hEOTrQp7CRDRhWXB/Vhb3Ye1zRLWrmvA6s0bEAiXvxolERERERER0WjKCr5qamogSRI6OjqGPd7R0YEGn+lMJ06cwOnTp/Ge97yn+JjjON4LyzKOHj2KVatWjThP0zRomlbO0IhoGsVra3HVzdfjqiFVYacPH/Wqwk6ZOFRGVZgDCaezLTjd2oJftyIfhnViefAc1tb0YU2zhHXrGrFq03qGYURERERERDQpE2puv337dnzrW98C4AVZy5Ytw2c/+9kRze1zuRyOHz8+7LG/+Zu/wcDAAP7X//pfWLt2LdRxNMJmc3uiuW9oVdih8wEcSS5H1pl4cCXCLoZha5dKWLuWYRgRERERERFNY3N7ANi1axc+/vGPY9u2bdi+fTsefPBBpNNp3HHHHQCA22+/HUuWLMF9992HQCCAzZs3Dzu/oqICAEY8TkTz24iqMMvC6XyvsMOnTRzrrsSZ7FI4kMZ1PQcSTmVbcOpcC351DsALgIgOtATPYU1NP9YtlbF2bQNWbdoALTy+aZdERERERES0uJQdfN12223o6urCl7/8ZbS3t2Pr1q144oknig3vz549C1EUp3ygRDS/SLKMVVs2Y9WWzXhv/rFcOo0TbxzB0aMX8GarPYEwTMbJ7AqcPIchYVg7WkLnsLa6H+uWyVi7rhErN6xnGEZERERERETlT3WcDZzqSLRwZVMpnHjjCI4da8exczaO9VTibBlhmB8RFlpC57Cqqh+rGkWsXFGFVRtWo/KiFWmJiIiIiIho/iknJ2LwRURzTjaVwomDh3HsWAeOtto41lOFc9nmSYVhAFAp92BVrB0ra3WsWhbCytVNWLZ2DRQupkFERERERDRvMPgiogUnOzCA4weP4NibHTjWauNYdxXO5pbCxeSmVsswsCx0Hquq+rGyQcSqlVVYuX4VqnxWqiUiIiIiIqLZx+CLiBaFQhh29Fg7jrU6eLNnasIwwKsOWxltx6o6HSuXBrFqzRJWhxEREREREc0BDL6IaNHKJJM4fvAITpzsxInzFk72RHEq3QzdDU762oXqsJWVhd5hlVi1YTWrw4iIiIiIiGYQgy8ioiFsy0LbyVM4cewsTp4dwIl2BScSteg0pyawKlSHtdToaGnSsLylFi1rVyFSWTkl1yciIiIiIqJBDL6IiMYh1deHk4ffxImTnTh53sKJKawOA4BquQst0U4sr9axvFHF8uU1WL52JeI1NVNyfSIiIiIiosWIwRcR0QQVqsNOvnkWJ84M4GSHjBOJWnQYjVP2GpVyD5ZHOrC8KoeWRgUtLTVYvmYFKurqpuw1iIiIiIiIFioGX0REU6xQHXbyZBdOnDdxoieK0+klyLmhKXuNuNSXD8QyaGmUsXxZNVrWtKCyvh6COPmG/URERERERAsBgy8iohlgWxYunDqNE8fO4NTZAZzuknAmUYHWbBNsKFP2OlEpgZbwBSyvymB5g4zlyyqxfPVy1DQ1MRAjIiIiIqJFh8EXEdEssgwD50+cxOmT53GmNYUznQLO9MdxLrcEpqtO2euExQE0BzvQHE+hucbF0qYQmpfVYemqlQhGo1P2OkRERERERBdzHAeO48C27SnZb968GYoyvgICBl9ERHOQbZo4f/IUzpw8jzPnkvlALIaz2SYYbmBKX6ta7sLSSDeWVmTRXCehuSmGpSuWoGH5Msjq1IVvREREREQ081zXheu6sG27uBVCpNFul3PsWGHVVMdJ73nPexAMjm+hsXJyInkqBkdERGOTFAXL1q3FsnVr8ZYhj9uWhfbTp3H6RGs+EHNxpi+Ks5mmCfcQ67Fq0dNfi1f7AZweMgacQ6PWjqXRfjRXmVjaoGHp0io0r1iKqoYGTp0kIiIiIirTWCHTRLbxhFXzoI6pLI7jTMt1GXwREc0ySZaxZPVqLFm9GtcMedyxbXScPYszx8/h9Ll+nOlwcbovgjOTaKpvQ0GrvhSt+lKgG8CxwjMWQuIRNAfb0RxPYWmNi+bGEJYur0PzyhUIsdqWiIiIiOYJ13VHBEeWZfkGTH6Pj/fYoRVQNHm2bU/LdTnVkYhonnFsG13nz6P1VCvOnetDa6eJc70qWlNVaDca4GLqq7aq5S40h7vRFM+hqRpoqg+jqbkGTS3LEK2qmvLXIyIiIqKFqTA9rxAiDQ2TLn5srP1oIdU8iDoWLEEQIEkSRFEsa79x40aEQuP7BT97fBERLVJGNovzp06j9Uw7zp0fQGuXi3OJEFrTdUjYldPymlEpgaZAF5piKTRVOWiqDaBpSSWaljWhuqkJoiRNy+sSERER0dQb2jfKsqxhYdPQrdTzY4VY01XVQ4MkSSpuhVDp4tulnit1fDkhljgD7VMYfBER0QjJnh60njiN1nPdONeexbkeCa3JGFqzjVPeXL9AEXQ0ah1oiiTQVGGiqUZGU2MMTUvr0bB8OdTg9LwuERER0UJXmGZ3cSBV2EzTHPH8aGHV0NvzICaY8y6ueip3G+280cIpURQhCMJsv/1px+CLiIjGrTB18tzJc2ht7Z+RqZMAIMBBrdKFpnAvmmJZNNWIaKoPoam5Fk0tyxCpnJ4KNSIiIqKZ5jgOTNMsGVJNZGPlVPmGhkeyLPuGSqUeH+s5vxBqMQRQs4XBFxERTYnC1Mlzpy+g7UIKbT0O2hIBtKUr0WnUwcH0TWOMSf1oCHSjIZJGfdxGfbWMhvooGppq0LBsKRvuExER0bRxXbdYNTW0guri22M9X7jN5uej8wuXhoZMFz/m99x4wikGUQsHgy8iIpp2lmGg4+xZtJ1rR1tbAm1dJtr6ZLSlYriQq5vwypPjFZP6UR/oQX04hYYKGw1VMurrI2hoqkH90mZEKiqm9fWJiIhobin0pjJNs7gVgie/+6OFVZZlzfbbmVMuDp3Gc7ucwGomekLRwsLgi4iIZpXrOOhtb0fbmfNoa+tFW0cWbb0iLgyE0JapQb89/StBRsQkGgLdqI+k0BC30FAto6EugvrGajQsa+ZUSiIiojliaHWVX1hVKrDyuz0PPt5OG0EQoChKMYC6OJAaLawaK8BiMEVzDYMvIiKa09KJBC6cPou21i60tc/sFMqCcD4YawinUF9hob5KQn1tGHX1lahrakBFXR1XpCQiIhpDocrKMIwRYdXF22jHLDZ+odNkN4k/t9AiwuCLiIjmLVPX0XH2HC60tqOjI4n2bgPt/SLaB0LoyFaix6qdkXEogoEapRu1wSTqIlnUxV3UVimoq4mgrqEatUsaEa2shMDfgBIR0TzmOA4syyqGUhfvxxNazYOPlJMmiuKwaqqxbpd6vrCxgopochh8ERHRgmVks+g414qOtk60tyfR0aOjvU9EeyqI9kzVjAVjABAQMqjVelAXTKIuaqA2DtRVq6itjaKuoQZ1zUsQjEZnbDxERLQ4Fab7lQqv/PZDg6yFqlBVpShKcRt6f7xhlaIoDKqI5hgGX0REtGgZ2Rw6W1vRfr4jXzGmo6NfQPtACO3ZSvSYNXAxcz+8RsQk6rQe1IVTqI2aqKsQUFsdQF1dHLWNtahpaIQWnt6FAIiIaO4rTBccbSsVYi20FQOHBk4Xh1Vj3R8aWnHqH9HCxeCLiIioBCObQ9f5VrSf70R7eyJfMeYFY53ZOLrNGjiQZ3RMUSmBGrUPNcEUqsMmauIuqisU1FSHUVtXier6WlTU1UGSZ3ZcRERUnkKT9rECLL9Aa6GsIihJElRVHRZM+W2ljuE0QCIaDwZfREREE2RbFnrb29HV1oHOzn50dWfQ0WejKymhMx1CV64SfVbVjFaNAYAIC1VKL2q0BGpCGVRHbNRWiKiu1FBTE0VNXRWqGxsQjsXYd4yIaArYtg1d12EYRsn9xZVY8736ShCEYYFUqXBqtGCLoRURzQQGX0RERNPI1HV0t7Wh80InujoT6OzOoavfQWdSQVcmjE69Ekm7clbGFhAyqFF7URMcQE04h+qoi5oKGTXVQVTXxFFdV42qunpOrySiRWNoFdbQwErXdd8gq3B7vlZgFab6FcIpv32p52RZhiAIs/0WiIjGVE5OxDkTREREZVI0DY0rVqBxxYqSx+TSaXS2nkdXezc6O5Po6tXR2e+ia0BFZzaKLr0aGScy5WPLuSG06iG06gD6Sx3VjbCYRJWaQHUghcqgjqqIg+qYiKoKDZVVYVTXVqKqrhax6mqI7JFCRHNIoRJr6JbL5UoGWLquz7sqLL+Ayu++X3jFiisiouFY8UVERDRL0okEei60o7ujB909A+ju1dGdcNCTktCdCaI7F0ePWT3jPceGkmCiUulDlZpEVTCLqrCJqihQHVdQWRlEVXWMVWRENGGFaqyLg6zRtvlSiVWYNlgqwFJVFZqm+T7H8IqIaHSs+CIiIpoHwvE4wvE4lq0vfYxtWUh0daG7oxPdnf3o7kmjp89Ad1JAT1pBdyaMbqMSSbtiWsZoQ0G3WYdusw5IA+gudWQ3wuIAqtR+VGkpVIW8KrLKqIjKuIrKihAqqqKoqKlCVV0d1GBwWsZLRLPLdV2YpllWkGXb9mwPe0xDQ6rCfqwAS1EUThskIpoDGHwRERHNYZIso6qxEVWNjVg7ynFGNovuCxfQ3d6Nnu4kunuz6O630T0gojsdQI8eRbdRDcMNTNtY004U6VwU53IAEqMd2YWQmEKFkkCllkJFQEdlyEJlBKiIyaiMB1BZFUVFVRwVtTWIVlZyuiXRLHJdd9iUwsK+1O25PK1QEIRhwdXFYZamaSMe4/RBIqL5jcEXERHRAqAGg2hauRJNK1eWPMZ1HKSTSfR2dKKvuw89PUn09uXQm7TROyCgN6OiNxtCrxFHv101rePNOBFk9AjadADJUY+EhAQq5H5UqAOo0LKoDBmoDLuoyFeTVVSEUFkVQ0VNFSpra1lNRjQOjuP4BllD7w/dz8XuKIUQa7TQyi/EYhUWEdHiwuCLiIhokRBEEZGKCkQqKrBs3ejHWoaBvs5O9HX1oLc7gZ7eNHoTBnqTLnrTEnqzAfTmIug1q6C70xs02VDQY9Wix6oFMgD6Rju6C0ExjbicRFxNIa7pqAiaiIdcxCMi4lEFFfEg4hVhxKsqEK+uQqSighVltCAUKrOGhljZbNa3OsswjNke7giiKBbDq/FsqqoyxCIiojEtquCr0DxzPvQRoIkTRZG/zSMimiRZVVHb3Iza5uZRj3MdB5mBAfR2dKK3qxe9PQPo6csWq8j6swr6ckH0GVH0mxWwoE772LNOGFkjjHYDQGqso9MQkUBcTiCuDCCuZhEPGIiHbMTDQEVERjymIV4RQrwiiorqSsRralhVRjPKtu2SYdbF9+dSZZYkSaMGV4FAYNh9WZb58xsREU25RRF8ua6Lvr4+9Pf3Q9f12R4OzQBJkhCNRhGPxxEKcZUxIqLpIohisUn/0tGakCE/1TKRQG9nF/p7+tHfl0JffxZ9SQv9KRd9GQn9WQ19ehj9ZhwpZ2ZWcnYgo8+qRp9VDWQxRn8yF35VZVHNQizkIBYSEItIiEU1xGJBxOIRxCrjiFVVIRSNQmCfIMor/EL24uDKL9SaS9VZhWmDgUCgGFwN3Q+9LcuL4qMGERHNcYvif6OOjg709fUhGo2itraWv01awFzXheM4SKfTSCaT6O/vR3NzM6LR6GwPjYho0RNEEZHKSkQqK7FsHMcb2RwS3V3o6+lFX08S/f0Z9CV09CUd9GcE9GcU9OVCXjWZVQEbyrS/h4LyqsoAIAEJ3YjJScTkFGJqFjHNQDRgIxZyEQuLiEUULzCLhxCriCJWWYFYVRWry+Yh27aRzWaLIVYmkyneLzyWzWbnxCyEoX2ySgVYQyuzJE4LJiKieUZw51I9dAnJZBLxeByJRAKxWHm//U0kEmhra0NjYyMqKiqmZ4A0J7mui7a2NiSTSSxfvpyVX0REC5jrOEj196OvswuJviQS/SkkkjkkBkwkUl5QlsgqSOQCSJheRVnOnR//LwSEDGLyAGJKGjEth6hmIhqwEQkCsZCISFhBNKoiGgkiGo8gWhFDpKIC4ViMFWZTbGgPrWw2WzLQmgszDAqhVTAYLBlkBQIBqKrKFQuJiGjeKScnWvAVX8lkEqFQiKHXIiQIApqampDNZpFIJBh8EREtYIIoIlpVhWjV+Fej1NMZJHt70N/Th0T/ABL9GSSSOvpTFhJpIJGRkMipSBhBJMwoElYcziz86JRzQ8iZIXSa8Jr7j0sSIvoQkZKIymlElCyiqpEPzRxEQ0AkKCEWURCJaohGg4jGvNAsWlmJQDi86EKzodMOh4ZaQx/LZrNwHGfWxiiKYjG4ujjUGno7EAgwzCIiIspb0MFXYcpbbW3tbA+FZokgCIjFYujv70dDQwOnuBIRUZEWDqE2HELt0qXjOt6xbaT6+5Ho6UWitx+J/jT6E1kMpEwk0w6SGSCRk5HMqRgwA0iaESSt2Iw09PcdLyQk7Uok7UqgrAKkPkjoRFQaQFRJI6pkEVENhFULkYCDSAAIB0VEwjIiYQWRSACRSAiRWASRuFdtNtemZxamHmYymWHb0IBrNvtoKYoyrkCLqxgSERGVb0EHX5ZlwXVdBAKB2R4KzaJQKISenh6YpglVnZ0PH0RENP+JkoRYdTVi1dUYX1TmTcHMplJI9vYi2Z9Asj+FZDKDZNJAMm0hmXGRzAhI5hQkdQ0DZhBJK4oBOz6t72UsNhT021Xot6uAXDlnmgC6oAgGItIAwlIGESWHiGogoppDgjMBkZCMSFhFOKIhEg0hEgsjEoshHI8jEAqNu+LMcZxiH62LA63CNltTDyVJQjAY9N2GhlpsAk9ERDR9FvT/soVSdJZ6L26FJqyzOTWBiIgWJ0EUEYrFEIrF0FDGebZlIdXXh0RvHwYSA15gNpBDcsBAMm0jlQUGciJSuoykriFlBjFghTFgR2dlOubFTFcdXCmzrMzJBtALCR0IS2mEpQyCsoGAYkNVXKiKC0UWIOU3QXQhiA4UyYYq21ALe9mCKtmYzh8BC8HVaJuiKKzQIiIimmWz/5PRDOAPHIsb//yJiGi+kWQZ8dpaxMts1+A6DjIDAxjo70eqP4lkIoXUQBYDKR0DaRMDaacYmg3oCgYMr8osZUeQsqNwMTd+WWhDQdKuQNKuACYxA1EWBwMxZUgg5oVjhaDMyj/vQJVsBBQb0aCIWERCPBpARTyMSDSMUCg0rFqLv1glIiKaHxZF8EVERES0GAiiiHA8jnA8Diwv71zHtpFOJLzQLDEwJDQzkM5YSGW90Cyle5VmaVNBygwgZYaQtsNzcpVMy5FgGdL41wQoQRF0hMQehKQsQnIOIdlASDERUm2EVAchDQhqAsJBEcGAjHBIQTCkIhwOIhQOIhQNIxSJIBiJQg2yBQcREdFMYvBFRERERBAlqeyVMW3bRiaTQTqdRqI/iZ6efvT1Z9A7YCCRcjGQk2BYEnRLhmFLMCwZujV87z0vwbTn7o+lpqshYWtI2JWTqEDLAshCEQwExTRCUg5BSUdQNhCUTQQVCyHVQVB1EVSBYEBAUPOCtFBQQTCoIhjSEAwHEAyFEAyHEIpGEQiHIebbOhAREdFIc/cnDCIiIiKaVZZlFYOtdDpdvF3Y53L+ne81EaiLedt4OQ6K4ZhhScNum7YIxxHh2IBtubAswDQB3RSgWxKyloqsHUDajsDB3A6BTFeFaatI2pO9kg2gH0A/AkIGQSmLYD5MC8kGgoqFgGIjpDgIal6YFlAFBAMSApqEQEBGMKgiEFARDAUQCAUQDAURDIcRCIWhBgPjXmCAiIhoLmPwRURERLRIua4LXdeRTqeRSqWQSqWKt9PpNLLZ7IyMQ5ZlhMNeH63CvrAV+mqNp6eW6zjIpdNIJ5NIJweQSWeQGsggndaRyXhTNtNZB+mci3ROQMYQkTZkpE0VWUtFxg4gY4eQccJzpt/ZeOTcEHJWCH3WVFzNq0wTYSMgZhEQcwhKOQQkAwHZRFC2EJAtBFUHAcVFQPGmeQY0L1QLajICAQWBoIJAQEMgpCEQCCAQCkILhRAMh6FoGkM1IiKaMQy+iIiIiBYwx3GKFVt+4ZZlTUlaMipFUUYEW+FwuHhbVdUpWYxGEEUEo1EEo1HULJn4dQoBWmZgAOmBFLLpDNKpLLIZHZmsgUzGRCZnI5NzkNGBjO6FaBlDRsZSkLE0ZKwAMnYQGScyr0K0AgcSMk4EGScCTNlfkQyADETY0MQcAmIOAVGHJhkISCYC+VBNkx0ElHywpgKa4gVrAVVCICAhoMkIBFRoAQWBYACBoOYFa0FvC4RCkBRlqgZNRETzHIMvIiIionnOMIySwVYmk4HrutP6+qqqjgizLg625pOhAVr1JK/lOg5ymQyyw0K0DLJZI7+ZyOZsZHUHmZyLrAFkDQFZQ0LWkpExFWRtFVlLQ9YJImOHYGN+hzoOJGSdMLJOeIqvbOS3BGQY0MQcNNGAJuoISCZUyURAsqDJdn7zwjVNgbepAgKqCFUVEdBkaJoMTZWhBbwpoVpQgxYIQAsGEAiFoAWDrF4jIpoHGHwRERERzXGu6yKXy2FgYMA33DKMCXdcHxdN00pWa4XDYSisrilJEEUEIxEEIxFUNU7NNU1dR2ZgANl0GtlUGtl0FtmsjkxG98K0nIVsNh+m6UBWB7KmiJwpIWdJyFoKcraCrK0hZweQcwLQ3eDUDG6OsKDCclSknem4ugMgld8AVchBE3WoggFNMqCJXsimSTY0yYIqO9BkB5rsQpW9oE1VvEo2VRWhqVJxUzUFWn5TAyo0TYMWDEANeJsWDEJWFIZtRERlYPBFRERENEfoul4MtwYGBoYFXdM5JVEURYRCIUQiEYTDYUQikeJtBltzj6JpiGsa4jU1U3ZN27KgZzLIpdPIptPIZXLIZrxALZczkc0ayOk2slkbOcNBznCR1YGcKQwJ1WRkLRU5W0XW1qA7GnJOABbmV8VfuQw3AMMOeHem7Z9poZotCQEOVEGHJupQBBOqaECVrHzgZg9usgNVcqDKLlTZq2pTZUBVBKiKV9mmKhJUVYKqehVuqqpAVRVoAQ2KpkLVVKiaBjUQgKJqUAIaVxElonmHwRcRERHRDDJNc0SwVdhPZ+WWqqrFUOvi/Xibx9PCJckyQrEYQrEyluIcJ8swkMuHano2i1wmh1xORy6rI5czkMuZ0HULuVwhVHOgG0DOAHKWgJwpeqt3mjJ0W0bO9sK1nKNBX4DVamNxIUJ3g9DtmXrfZn4bAADIMLywTTCgiCZU0YQqWlBEC6pkQxEHgzdFcqFKXqWbInvBmyIL+fBNgKLkwzdFgqJKUBUZiipDUWQo+RBOURUomgpFVb0ATtOgahr7uBHRuDH4IiIiIppitm0PC7SG7nO53LS8piAICAaDvlVbkUhk3vXZooVDVlVEVBWRioppub5j29AzGejZLPRcDnomi1wuByNnIJczoOdM5HQThm4jZ1jQdQe66UI3XORMwDCBnCVCN0XotgTdkpCzFei2At1RoNtafjpoYF4uVDDVCtNIMwBgz+Qr2wDS+Q0QYUMRDCiCCUU089VvXgCniBaUYgjnQBEdKJIDRXa9ME4GFMmbcipLAhS5sImQZRGqIkJWRC+AkyUoqgxZkaCqCmRZhqIpUBQFiqpCVr2qOFlVoWgaJJkfsYnmGv6rpCnT3NyM8+fP44YbbsBTTz016rEHDx7E1q1bYds2vvGNb+DOO++coVESERFNjcJqiX7VW5lMZlpeU5KkEYFW4XYoFILEKUi0CImSVFyMYDq5jgNTN6BnM8hlMjByOeg5HXrOgKEb0HUDhm5BNywYug3dsKEbDgwzH7TlQzbdEqBbInRLhGFLMGwJui3DsGXojgrdUWE4KnRHW/DTRCfDgeRVvrlBr+3arClMQ/UUAjlZ8KrhZMGCLFhQRQuy6IVximhDzodxsuhAllwoouvtJRey5AVzsgQoshfOycVgbjCgU2QJsiIN7hUZsiIX97Ki5O8rkIYEdd7j7BVHiweDL5oyO3bswKOPPor9+/fDdd1RlyXftWsXbNvGqlWr8LnPfW4GR0lERFQey7KKwVYymUQymSzed5yp/7QliiLC4TCi0SgikQii0WjxdjAYHPX/VyKaPoIoQg0GoAYDiFZVzchr2pYFI5stVrOZugE9l4OhmzAMw9vrFgzDgmHaMAwvcDNM19ssF4YJGBZgWAIMS4BuSTDsfOjmSDBsBYYjw3CUYuBmuBocMEifiKGB3PQsrjARLi4O6ABAglcpJwkWFMGCLFqQBdsL60Tb2wSnGNR5mwtZKuwLgR1GbJIkeIFdPrSTJRGyJEKSBciyCFmSIMkiZFnyNkWCLMv5+zIkRYIse8GdJHshnqKqkPKhHYM7KgeDL5oyO3fuxKOPPopEIoFjx45h3bp1vsf98pe/xG9+8xsAwNe//nVOvSAiojnBMIxisFUIt5LJJNLp9LS8XqFi6+KAKxQKsd8WEQHweq/NRDWbH8swYOo6DF2HkcvB0HWYhlfdZhoWDN2AYVjebdOCYdgwTa/CzTSdfOjmwrS84M20AMMWYFgiDFuEOSR8M+1C8CbDdBWYjuLtXZUB3DSyocB2FS8X8x6YoxwAen4bJMIqVtTJggVJsCEJdj68syGJNiTB8e6LDiTBgVQI70QHkuhCEt38fW+TJEAS8wGeiPx9IR/oCZBkwbsvi4N7SYAkipBkEZLkbbIs5fey91g+0BNlCZIkDQZ6srcvhHuF26IkMdibQgy+XAfI9sz2KGZOsBoQpucf0M6dO4u39+7d6xt8maaJz3/+8wCA6667Du9///unZSxERER+XNdFNpsdEW5NV++tQs+toeFWYXoipyUS0Vwm56fFzUboNpRtml7oVtiK4ZtX8WYaJkxzMIAzTTu/FQI4B6bl5jcUN8MWYNoCLFuAYYuwHC+MMx0JpiPBciSYjgzTlWA6CixXhuGosFyZU1DnCAcyDFeG4Y597NxlodRysBLMYYGehPxecEbuhwR7kuDmbw/Zi673uIj8/aH7IVs+6PNuCxDze0kQvH0h5JMEiMXb3iaKQj78k/KPSRAlsXhbkgv3ZUiy5IV8kgRRkoqBXyganZaVYxl8ZXuA79bN9ihmzmc6gVDttFx627ZtkGUZlmVhz549+MhHPjLimIceegjHjh2DIAh44IEHpmUcREREhf5bfhVcluX/A+ZEqarqOy0xEolA4apjRESTIikKgoqCYCQy20MpcmwblmHCNHRYhgFD12GZJkzdgGl6YZxlelNQLcuCadgwLS+QsywHluXAtByYpgvLdmBagGV7wZzlAJYFL5RzANMWYdkCTGcwnLNcsRjOWflwztvLsNxCtZw2218mmqQRFXkLkp3fvGm4P/x/urB07ZopfxUGXzRlgsEgtmzZgv3792PPnj0jnu/p6cFXv/pVAMDtt9+Oyy+/fKaHSEREC4zjOEilUkgkEkgkEsWQK5VKTXn/rVAohFgshlgshmg0WrytafxwQUS0mIiSBDUoQQ0GZnsoJbmOA9uyYJkmLMPwgjnDgG1ZXjBnWbAME5ZlwzItmKYF2y6Ec4XNC+ks24Vl5vf5zbRcWDaGb45XQTds74iwXS+0sxwvtLPyoZ3tSrBcCZYrw3YlmK6Svy1ziusiJUrTMzuNwRdNqZ07d2L//v149dVXYdv2sGkcX/nKV9Df349wOIx7773X9/wf/ehHeO6557Bv3z4cOHAAhmHgH//xH/Fnf/ZnM/QOiIhoLipMUSwEXEODrqkMuARBKFZtFYKtQtAlc4l6IiKaJwRRLE5XRTg828MpW6GqzrbMwdDOzAd2pldJZw8J7Ox8WGfbhcDOhm05sJ18eGe5sB0HtjUY3tmOC9seDPBsZ3BvO17FnWULsB0hf78Q5Amw84GenQ/z7HygZ7sibFcqbpYrw8bgbYcRzKikafpZi191mlI7d+7Ed77zHWQyGbzxxhvYsmULAODQoUP43ve+BwC466670NTU5Hv+3/zN3+DMmTOoqalBY2Mjzpw5M2NjJyKiucEwjBEBVyKRgGmaU/Yasiz7hluRSISN5YmIiGZZoaoOmLtVdRNRqMSzTQu27VXkFSrzbNuGbZqwCwFePtSzLBuO7XjP2/lQz3Zg207+cTd/Px/u2W7+9pC9g/xtFLfBkA/5cA/FkM8L9wQ47tD7IhwMhn6OKwwJ+kQ4+QCwEPo5GB4COpDGrOSbrv6nDL6C1V7fq8UiWD2tlx/a4H7Pnj3F4OvOO++EZVlobm4uNrf38/3vfx9r1qzB8uXL8bd/+7e4++67p3W8REQ0e2zbRjKZHBFwZbPZKXsNTdNGTE2MxWIIBoMQBGHKXoeIiIhoLMMq8RYhx7bh2DZs04Lj2F4IWNhsG1UNDdPyugy+BHHamr0vRmvWrEFVVRV6e3uxd+9efPKTn8Tjjz+OJ554AgBw7733IhQKlTz/pptumqmhEhHRDCk0mr844EqlUnDdqenYGggEEI/Hh4Vb7L9FRERENHeI+VUcZzr4Y/BFU27Hjh3YvXs39uzZA8uycOeddwLwVn386Ec/OsujIyKi6WSaJvr7+9HX14f+/v5iHy7btqfk+rIsIx6Pj9gYcBERERGRnwkFX9/+9rfxd3/3d2hvb8ell16Kb33rW9i+fbvvsY8++ijuvfdeHD9+HKZpYs2aNbjzzjvxsY99bFIDp7lr586d2L17Nw4cOIAHH3wQR44cAQA88MADnFZCRLRAuK6LXC43LOTq7+9HKpWakuuLoohoNDoi4AqFQvy/hIiIiIjGrezg65FHHsGuXbvw8MMPY8eOHXjwwQfxjne8A0ePHkVdXd2I46uqqvClL30J69evh6qqeOyxx3DHHXegrq4O73jHO6bkTdDcUujzZRgGvvjFLwIAPvCBD+Daa6+dzWEREdEEua6LVCo1LODq6+uDrutTcv1wODwi4IpGo2wyT0RERESTVnbw9c1vfhOf+tSncMcddwAAHn74Yfznf/4n/uEf/gFf+MIXRhz/1re+ddj9//bf/ht++MMf4vnnn2fwtUDt2LEDgiDAdV2YpglN0/D1r399todFRETjYNs2EonEsIArkUjAsqxJX1vTtBEBVywWg6IoUzByIiIiIqKRygq+DMPAvn37hq20J4oibrrpJrz44otjnu+6Lp566ikcPXoU999/f8njdF0f9lvkZDJZzjBplsXjcaxfvx6HDx8GAPzlX/4lVqxYMcujIiKiixmGMSzg6u/vRzKZnHTDeUEQEI/HUVFRgYqKimLIFQgsrCXJiYiIiGjuKyv46u7uhm3bqK+vH/Z4fX19sY+Tn0QigSVLlkDXdUiShO985zt4+9vfXvL4++67D/fcc085Q6M5pq6uDocPH0ZtbS2+9KUvzfZwiIgWvWw2Wwy3Cvt0Oj3p68qyXAy4KioqUFlZiVgsBkmSpmDURERERESTMyOrOkajUbz66qtIpVJ48sknsWvXLqxcuXLENMiCu+++G7t27SreTyaTWLp06UwMlabAnj178MwzzwAA7rnnHsTj8VkeERHR4mIYBvr6+tDb21vcstnspK8bCASGBVwVFRWIRCJsNk9EREREc1ZZwVdNTQ0kSUJHR8ewxzs6OtDQ0FDyPFEUsXr1agDA1q1bcfjwYdx3330lgy9N07gs+Tx21113AQA2b96MT3/607M8GiKihc2yLPT39xcDrr6+PgwMDEz6upFIZFjAVVFRgWAwOAUjJiIiIiKaOWUFX6qq4oorrsCTTz6JW2+9FQDgOA6efPJJfPaznx33dRzHmbKVoGhu+f73v4+nn34aAPDQQw+VPdXl+9//Pp5//nkAwIEDB0Zc89prr8Wf//mfT9l4iYjmE8dxkEwmh1VyJRKJSfXkEkURsVhsRMjFhvNEREREtBCUPdVx165d+PjHP45t27Zh+/btePDBB5FOp4urPN5+++1YsmQJ7rvvPgBev65t27Zh1apV0HUdjz/+OP75n/8Z3/3ud6f2ndCsyGQyaGtrw8DAAH7xi1/ga1/7GgDgL/7iL3D99deXfb3nn38eP/zhD4c99vvf/x6///3vi/cZfBHRYuC6LlKp1LCQq7+/H7ZtT/iahX5cQwMu9uMiIiIiooWs7ODrtttuQ1dXF7785S+jvb0dW7duxRNPPFFseH/27FmIolg8Pp1O47/+1/+K1tZWBINBrF+/Hj/60Y9w2223Td27oFnz4x//eMR0xu3bt+OBBx6Y0PV+8IMf4Ac/+MEUjIyIaH7JZDIj+nKZpjnh64miiIqKClRVVaGqqgqVlZWIRqPD/o8mIiIiIlroBHeya5bPgGQyiXg8jkQigVgsNu7zcrkcTp06hRUrVnAJ9Wnymc98Bg8//DA0TUNLSws+9KEP4a/+6q8QjUZne2hF/HtARHONaZro7e1FT09PMeTK5XKTumYsFiuGXFVVVYjH46zkIiIiIqIFqZycaEZWdaSF67vf/S6nrRIRjcJ1XaTTafT09KC7uxs9PT2T7ssVDoeHhVzsyUVERERE5I/BFxER0RSybRt9fX3Dgq7JVHMFAgFUVlYOC7q48jERERER0fgw+CIiIpqEXC5XDLm6u7vR19cHx3EmdC1FUUaEXMFgEIIgTPGoiYiIiIgWBwZfRERE4+Q4DpLJ5LBqrlQqNaFrDW0+X11dXWw+z5CLiIiIiGjqMPgiIiIqodCEvlDNNZmVFjVNQ3V1NWpqalBdXY2qqio2nyciIiIimmYMvoiIiDD1Tejj8fiwoCsSibCai4iIiIhohjH4IiKiRcl1XQwMDKCzsxNdXV3o6uqacBN6WZZRVVWFmpoa1NTUoKqqCqqqTvGIiYiIiIioXAy+iIhoUXBdF8lkshhydXZ2Qtf1CV0rHA4Pq+aKx+MQRXGKR0xERERERJPF4IuIiBakQtA1tKJrIkGXKIqorKwcFnQFg8FpGDEREREREU01Bl9ERLQgTFXQdXET+srKSsgy/7skIiIiIpqP+JM8ERHNS67rIpFIFKctdnd3TyjoCgaDqKurQ21tLWpra9mEnoiIiIhoAWHwRURE80Ih6Bpa0WUYRtnXGRp01dXVIRwOM+giIiIiIlqgGHwREdGcNFVBVygUKoZctbW1DLqIiIiIiBYRBl9ERDRnpFIpdHR0oL29fVJB18UVXUREREREtDgx+CIiolljmiY6OzvR3t6Ojo4OpFKpsq8RDodHVHQREREREREBDL6IiGgGOY6Dvr6+YtDV09MD13XLugaDLiIiIiIiGi8GX0RENK3S6XQx6Oro6IBpmmWdHw6Hh626yKCLiIiIiIjGi8EXERFNqcL0xUKvrnKnL2qahvr6ejQ0NKCurg6hUGiaRkpERERERAsdgy8iIpqUyU5fFEURNTU1xbCroqKCqy4SEREREdGUYPBFRERlGzp9sbOzs+zVF2OxGBoaGlBfX4/a2lrIMv87IiIiIiKiqcdPGkRENKah0xc7OjowMDBQ1vmF6YuFjdMXiYiIiIhoJjD4oinT3NyM8+fP44YbbsBTTz016rEHDx7E1q1bYds2vvGNb+DOO++coVES0XilUim0tbXhwoUL6OrqguM44z6X0xeJiIiIiGguYPBFU2bHjh149NFHsX//friuO+qH3F27dsG2baxatQqf+9znZnCURFSK4zjo7e1FW1sb2trakEwmyzo/FosVgy5OXyQiIiIiormAn0poyuzcuROPPvooEokEjh07hnXr1vke98tf/hK/+c1vAABf//rXoarqTA6TiIYwTRPt7e3Fyq5yenWpqloMujh9kYiIiIiI5iIGXzRldu7cWby9d+9e3+DLNE18/vOfBwBcd911eP/73z9j4yMiz0SnMIqiiOrq6mLQVVlZyemLREREREQ0py364Mt1Xei6PtvDmDGapk3bB9Vt27ZBlmVYloU9e/bgIx/5yIhjHnroIRw7dgyCIOCBBx6YlnEQ0XCO46CnpwcXLlwoewqjpmlobGxEU1MT6uvroSjKNI6UiIiIiIhoai364EvXdfziF7+Y7WHMmPe+970IBALTcu1gMIgtW7Zg//792LNnz4jne3p68NWvfhUAcPvtt+Pyyy+flnEQEWAYBjo6OiY0hTEejxfDrqqqKoiiOI0jJSIiIiIimj6LPviiqbVz507s378fr776KmzbhiRJxee+8pWvoL+/H+FwGPfee++Ic8+fP4+f/exnePzxx3HkyBG0t7ejqqoK11xzDe666y7s2LFjJt8K0bxTmMLY1taGrq4uuK47rvNEUURtbS2amprQ1NSEcDg8zSMlIiIiIiKaGQy+aErt3LkT3/nOd5DJZPDGG29gy5YtAIBDhw7he9/7HgDgrrvuQlNT04hzv/Wtb+H+++/HqlWrcPPNN6O2thZvvvkmfv7zn+PnP/85fvKTn+C2226b0fdDNJcVpjAWqro4hZGIiIiIiGg4Bl80pYY2uN+zZ08x+LrzzjthWRaam5uLze0vtn37djz99NO4/vrrhz3+3HPP4cYbb8RnPvMZ3HrrrdA0bfreANEcZ1kW2tvbcf78+QlNYWxqakJjYyOnMBIRERER0aKw6IMvTdPw3ve+d7aHMWOmOzRas2YNqqqq0Nvbi7179+KTn/wkHn/8cTzxxBMAgHvvvRehUMj33FIrPL7lLW/BDTfcgF//+tc4cOAAtm3bNm3jJ5qLLMvChQsX0NraigsXLsCyrHGdxymMRERERES02C364EsQhGlr9r5Y7dixA7t378aePXtgWRbuvPNOAN6qjx/96EcndM3CNCxZXvR/ZWmRME0T7e3tOHfuHC5cuADbtsd1HqcwEhERERERDWKKQFNu586d2L17Nw4cOIAHH3wQR44cAQA88MADEASh7OudPXsWv/3tb9HY2IhLLrlkqodLNGeYpokLFy7g3LlzaG9vH3fYVZjCWFiFcSL/zoiIiIiIiBYiBl805Qp9vgzDwBe/+EUAwAc+8AFce+21ZV/LNE187GMfg67ruP/++4etEkm0EBiGMSzschxnzHMEQUBNTQ2am5s5hZGIiIiIiGgUDL5oyu3YsQOCIMB1XZimCU3T8PWvf73s6ziOgz/7sz/Ds88+i0996lP42Mc+Ng2jJZp5hmGgra0N586dQ0dHx7jDrtraWjQ3N6O5uZlTtImIiIiIiMaBwRdNuXg8jvXr1+Pw4cMAgL/8y7/EihUryrqG4zj4xCc+gZ/85Cf46Ec/iocffng6hko0Y3RdR1tbG1pbW8sKu+rq6tDc3IwlS5Yw7CIiIiIiIioTgy+aFnV1dTh8+DBqa2vxpS99qaxzHcfBHXfcgX/6p3/Chz/8YfzgBz+AKIrTNFKi6aPrOs6fP18Mu1zXHfMcQRBQX19fDLumeyVWIiIiIiKihYzBF025PXv24JlnngEA3HPPPYjH4+M+d2joddttt+Gf//mf2deL5pVcLlcMuzo7O8cVdomiiPr6eixduhRNTU1QVXUGRkpERERERLTwMfiiKXfXXXcBADZv3oxPf/rT4z6vML3xn/7pn/DBD34QP/rRjxh60byQy+XQ2tqK1tZWdHV1jTvsamhoKDaoZ9hFREREREQ09Rh80ZT6/ve/j6effhoA8NBDD5UVXH31q1/FD3/4Q0QiEaxduxb/83/+zxHH3Hrrrdi6desUjZZo4izLQltbG86cOYP29vZxhV2SJA0LuxRFmYGREhERERERLV4MvmhSMpkM2traMDAwgF/84hf42te+BgD4i7/4C1x//fVlXev06dMAgFQqVbzOxVpaWhh80axxXRddXV04ffo0WltbYVnWmOdIkoTGxkY0NzejsbGRYRcREREREdEMYvBFk/LjH/94xHTG7du344EHHij7Wj/4wQ/wgx/8YIpGRjR1EokEzpw5g7NnzyKTyYx5vCRJaGpqKoZdssxvtURERERERLOBn8ZoUvbv3w8A0DQNLS0t+NCHPoS/+qu/QjAYnOWREU1OLpfD2bNncebMGfT19Y15fCHsWrp0KRoaGhh2ERERERERzQH8ZEaT8t3vfhff/e53Z3sYRFOi0Lfr9OnT6OjoGLNvlyAIqKurw/Lly7FkyRJOYyQiIiIiIppjGHwR0aLmui46Oztx5syZcfftisfjWL58OZYvX87qRiIiIiIiojmMwRcRLUqFvl1nzpxBNpsd8/hAIFAMuyoqKqZ/gERERERERDRpDL6IaNHIZrPFvl39/f1jHi9JEpqbm7F8+XLU1dVBFMXpHyQRERERERFNGQZfRLSgWZaF8+fP48yZM+zbRUREREREtMgw+CKiBcdxHHR1dbFvFxERERER0SLH4IuIFoxMJoOTJ0/i1KlT4+rbFQwGsWzZMvbtIiIiIiIiWqAYfBHRvOY4Dtrb23HixAm0t7ePOZVRlmUsWbKEfbuIiIiIiIgWAQZfRDQvZTIZnDp1CidPnhyzuqvQt6ulpQVLliyBLPNbHxERERER0WLAT39ENG8UqrtOnjyJCxcujFndVVFRgeXLl2PZsmXs20VERERERLQIMfgiojmvUN116tQpZDKZUY+VZRnLly/HypUrUVlZOUMjJCIiIiIiormIwRcRzUmO46CjowMnTpwYV3VXZWUlVq1ahaVLl0JRlBkaJREREREREc1lDL6IaE7JZrPF3l3jqe5atmwZVq1axeouIiIiIiIiGoHBFxHNukJ118mTJ9HW1jau6q6VK1di2bJlrO4iIiIiIiKikhh8EdGsmUh118qVK1FVVTVDIyQiIiIiIqL5jMEXEc0o13WLvbvGU91VUVGBVatWsbqLiIiIiIiIysbgi4hmRDabxenTp3Hy5Emk0+lRj5VlGUuXLi327hIEYYZGSURERERERAsJgy8imjau66KrqwvHjx/H+fPnx1XdtXLlSixfvpzVXURERERERDRpDL6IaMrZto1z587h2LFj6O/vH/VYSZKG9e5idRcRERERERFNFQZfRDRldF3HiRMncPz4ceRyuVGPjcfjxd5dqqrO0AiJiIiIiIhoMREnctK3v/1ttLS0IBAIYMeOHfjDH/5Q8ti///u/x1ve8hZUVlaisrISN91006jHE9H8k0wmsW/fPjz22GM4ePBgydBLkiS0tLTgxhtvxM0334zVq1cz9CIiIiIiIqJpU3bF1yOPPIJdu3bh4Ycfxo4dO/Dggw/iHe94B44ePYq6uroRxz/99NP48Ic/jKuvvhqBQAD3338/br75ZrzxxhtYsmTJlLwJIpp5ruuis7MTx44dw4ULF0Y9NhKJYPXq1WhpaWHQRURERERERDNGcMfqNn2RHTt24Morr8RDDz0EAHAcB0uXLsXnPvc5fOELXxjzfNu2UVlZiYceegi33377uF4zmUwiHo8jkUggFouNe6y5XA6nTp3CihUrEAgExn0eTUxzczPOnz+PG264AU899dSoxx48eBBbt26Fbdv4xje+gTvvvHPaxsW/B1OrnP5dtbW1WLt2LRobGyGKEyowJSIiIiIiIhqmnJyorIovwzCwb98+3H333cXHRFHETTfdhBdffHFc18hkMjBNE1VVVSWP0XUduq4X7yeTyXKGSbNkx44dePTRR7F//364rjtqk/Jdu3bBtm2sWrUKn/vc52ZwlDRR4+3fJQgCli5dirVr147675yIiIiIiIhoupUVfHV3d8O2bdTX1w97vL6+HkeOHBnXNf76r/8aTU1NuOmmm0oec9999+Gee+4pZ2g0B+zcuROPPvooEokEjh07hnXr1vke98tf/hK/+c1vAABf//rXOfVtjksmkzh27BjOnDkD27ZLHqcoClatWoXVq1cjFArN4AiJiIiIiIiI/M3oqo5/+7d/i5/+9Kd4+umnR51ydvfdd2PXrl3F+8lkEkuXLp2WMTmOi2TamZZrz0WxsAhRLF2JNRk7d+4s3t67d69v8GWaJj7/+c8DAK677jq8//3vn5ax0OSU279rzZo1aGlpgaIoMzRCIiIiIiIiorGVFXzV1NRAkiR0dHQMe7yjowMNDQ2jnvuNb3wDf/u3f4vf/va32LJly6jHapoGTdPKGdqEJdMO3v/X52fkteaCR+9fgoqoNC3X3rZtG2RZhmVZ2LNnDz7ykY+MOOahhx7CsWPHIAgCHnjggWkZB02cbds4e/Ysjh07hkQiMeqxhf5dTU1No05rJSIiIiIiIpotZQVfqqriiiuuwJNPPolbb70VgNfc/sknn8RnP/vZkud9/etfx9e+9jX86le/wrZt2yY1YJq7gsEgtmzZgv3792PPnj0jnu/p6cFXv/pVAMDtt9+Oyy+/fKaHSCWU079r2bJlWLt2LSorK2dwhERERERERETlK3uq465du/Dxj38c27Ztw/bt2/Hggw8inU7jjjvuAOAFGkuWLMF9990HALj//vvx5S9/GT/5yU/Q0tKC9vZ2AN70qEgkMoVvheaCnTt3Yv/+/Xj11Vdh2zYkabC67Ctf+Qr6+/sRDodx7733jjg3l8vhi1/8Ivbu3Yvjx4+jt7cXFRUVWLVqFf78z/8cH/3oRzmVboqNt3+XqqpYuXIl+3cRERERERHRvFJ28HXbbbehq6sLX/7yl9He3o6tW7fiiSeeKDa8P3v2LERRLB7/3e9+F4Zh4AMf+MCw63zlK1/B//v//r+TGz3NOTt37sR3vvMdZDIZvPHGG8VprYcOHcL3vvc9AMBdd92FpqamEeemUil897vfxfbt2/Hud78btbW16Ovrw+7du/GJT3wCP/3pT7F79+5hf7+ofK7roqOjA8eOHSsG0aVEIhGsXbsWLS0tkOUZbQlIRERERERENGmC67rubA9iLMlkEvF4HIlEArFYbNzn5XI5nDp1CitWrCjZTJ/N7afWm2++ibVr1wIAvv/97+OTn/wkAOCWW27BE088gebmZhw9etS3ashxHFiWNWKVR8uy8Pa3vx1PP/00HnvsMbz73e8ua0zj+XuwGLiui9bWVhw6dGjM/l11dXVYu3YtGhsb2b+LiIiIiIiI5pRycqJFX8IhisK0NXtfjNasWYOqqir09vZi7969+OQnP4nHH38cTzzxBADg3nvvLTlVThTFEaEXAMiyjD/+4z/G008/jePHj0/r+Bcix3GKgVcymSx5nCiKWLp0Kft3ERERERER0YKx6IMvmno7duzA7t27sWfPHliWhTvvvBOAt+rjRz/60bKv5zhOMTjbvHnzlI51IXMcB2fPnsXhw4cxMDBQ8jhVVbFq1SqsXr0awWBwBkdIRERERERENL0YfNGU27lzJ3bv3o0DBw7gwQcfxJEjRwAADzzwwLimzRmGgXvvvReu66KnpwdPPvkkjhw5gjvuuAM33njjdA9/3nMcB2fOnMHhw4eRSqVKHheNRrFmzRr27yIiIiIiIqIFi592acrt3LkTgBdgffGLXwQAfOADH8C11147rvMNw8A999xTvC8IAj7/+c8XVwolf7ZtFwOvdDpd8rh4PI6NGzeiubmZ/buIiIiIiIhoQWPwRVNux44dEAQBruvCNE1omoavf/3r4z4/EonAdV04joO2tjb88pe/xBe/+EW8+OKLePzxx8ta4GAxsG0bp06dwpEjR5DJZEoeV1FRgY0bN2LJkiUMvIiIiIiIiGhRYPBFUy4ej2P9+vU4fPgwAOAv//IvsWLFirKvI4oimpub8ZnPfAY1NTX40Ic+hK997Wu4//77p3rI85JlWcXAK5vNljyusrISmzZt4gqNREREREREtOgw+KJpUVdXh8OHD6O2thZf+tKXJn29m2++GQDw9NNPT/pa851lWThx4gSOHj2KXC5X8riqqips2rQJDQ0NDLyIiIiIiIhoUWLwRVNuz549eOaZZwAA99xzD+Lx+KSv2dbWBgBQFGXS15qvTNMsBl66rpc8rqamBhs3bkR9fT0DLyIiIiIiIlrUGHzRlLvrrrsAAJs3b8anP/3pcZ936NAhtLS0IBQKDXs8k8lg165dAIB3vetdUzfQecI0TRw/fhxHjx6FYRglj6utrcWmTZtQW1vLwIuIiIiIiIgIDL5oin3/+98vTkd86KGHIEnSuM/9l3/5F3zzm9/Etddei5aWFsRiMZw/fx67d+9GT08P3vKWt+C///f/Pk0jn3sMw8Cbb76JN998c9TAq76+Hhs3bkRtbe0Mjo6IiIiIiIho7mPwRZOSyWTQ1taGgYEB/OIXv8DXvvY1AP//9u40Nq7zPP//dWbfyCFFcRFFito3a9/l2JJQG3HcNIiboHXSAHGTIN2c1I6QtHHQ2DXwAxwkKeImMZIWBdo3cZKmaFI0aNIabiTbkWTL2mVbiyXbWqmdM+Rw9jn/F/6fKYdzZkgOlxkOvx9gQPIsw5vU4RHn4vPcj/Snf/qn2rlz55ie6/d+7/d05coV7du3T/v379fAwIDC4bDWrFmjT3ziE/rsZz8rl6v+L9lUKqUzZ87o7NmzSqfTJY/r6OjQypUrNXv27CmsDgAAAACA6aP+UwRMqh/96EdF0xm3bNmi73znO2N+rk2bNmnTpk0TVdq0k0wm84FXJpMpedycOXO0cuVKtbS0TGF1AAAAAABMPwRfGJfDhw9Lkrxer+bPn68//MM/1Fe+8hX5/f4qVzZ9JBIJnTlzRm+//XbZwGvu3LlauXKlmpubp7A6AAAAAACmL4IvjMsPfvAD/eAHP6h2GdNSOp3WqVOndObMGWWz2ZLHdXV1aeXKlWpqapq64gAAAAAAqAMEX8AUy2azOn/+vN58800lk8mSx3V3d2vlypUKh8NTWB0AAAAAAPWD4AuYIqZp6tKlSzpx4oQGBgZsjzEMQ/PmzdOKFSvU2Ng4xRUCAAAAAFBfCL6AKXDjxg0dP35ct27dst1vGIZ6enq0YsUKNTQ0THF1AAAAAADUJ4IvYBJFo1GdOHFCly9fLnlMZ2en1qxZwwgvAAAAAAAmGMEXMAni8bjefPNNnT9/XqZp2h4za9YsrV27Vq2trVNcHQAAAAAAMwPBFzCB0um0zpw5o9OnTyuTydgeEwqFtHr1anV1dckwjCmuEAAAAACAmYPgC5gAuVxO77zzjt544w0lEgnbY7xer1auXKmFCxfK6XROcYUAAAAAAMw8MyL4KjXVDDPDZP77m6apK1eu6Pjx4+rv77c9xul0aunSpVq2bJk8Hs+k1QIAAAAAAArVdfDlcDgkSdlstsqVoJqsKYcTPcrq1q1bOn78uG7cuFHymAULFuiuu+5SIBCY0M8NAAAAAABGVtfBl9vtltvt1sDAgEKhULXLQZVEIhF5vV65XBNzuQ8MDOjEiRO6ePFiyWM6Ojq0Zs0aNTU1TcjnBAAAAAAAY1fXwZdhGGpoaFBfX5/C4bD8fn+1S8IUu3Pnjvr7+9Xe3j7uRvLJZFJvvvmmzp07p1wuZ3tMc3Oz1qxZo/b29nF9LgAAAAAAMH51HXxJ0uzZsxWPx3XhwgU1NjaqoaFBTqeT1fTqlGmayuVySiQSGhgY0ODgoJqbm9Xc3Fzxc2YyGZ09e1anTp1SOp22PSYQCGj16tWaN28e1xYAAAAAADWi7oMvp9Op7u5u3bx5U/39/err66t2SZgCDodDgUBAnZ2dCofDFT1HLpfTe++9p5MnTyoej9se4/F4tGLFCi1evJiVGgEAAAAAqDF1H3xJ74df7e3tamtrUzqdLjlNDfXB4XDI5XLlFzcYK9M01dvbq+PHjysSiZT8HEuWLNGKFStYqREAAAAAgBo1I4Ivi2EYhBQo686dOzp27JiuX79e8pienh6tWrVKwWBwCisDAAAAAABjNaOCL6CUVCqlN954Q2+//bZM07Q9pq2tTWvXrh1XvzAAAAAAADB1CL4wo5mmqYsXL+ro0aNKJBK2x4TDYa1du3ZCVoYEAAAAAABTh+ALM1Y0GtXhw4dLTmv0+/1atWqVenp6Ku4XBgAAAAAAqofgCzNOJpPRW2+9pdOnT9sudOB0OrV8+XItW7ZMLhc/IgAAAAAATFe8qseMcuXKFR05ckSxWMx2/5w5c7R+/XqFQqEprgwAAAAAAEw0gi/MCLFYTEePHtXly5dt9wcCAa1fv16dnZ308QIAAAAAoE4QfKGuZbNZnT17Vm+88Yay2WzRfsMwtHTpUq1cuVJut7sKFQIAAAAAgMlC8IW6df36dR0+fFjRaNR2f2trqzZs2KBwODzFlQEAAAAAgKlA8IW6k0gkdOzYMb333nu2+71er9auXauenh6mNQIAAAAAUMcIvlA3crmczp8/rxMnTiidTtses2jRIq1evVoej2eKqwMAAAAAAFON4At14fbt2zp8+LBu375tu7+5uVkbNmxQS0vLFFcGAAAAAMDUMk1Tpmkql8spm80ql8vlH8M/Hrpt1qxZCgaDJZ9zOs6aIvjCtJZKpXTy5Em9/fbbtvvdbrdWrVqlRYsWyeFwTHF1AAAAAACMjRVYpdNpZbNZ2+AqHA7L5/MVnZvL5XT69GnlcjmZpjnmzx0MBksGX++8845SqZRcLpfcbrfcbrdcLlf+Y+ut0+msqYCM4AvTkmmaunDhgo4dO6ZEImF7zLx587R27Vr5/f4prg4AAAAAMNGsIKdUqJJMJmUYhpxOpxwOR02FL8Nls1kNDAwok8konU4Xvc3lcmXP9/l8tsGXYRgVh16Syn7eTCaTf5R6HW7VMDQIc7lcCoVCamhoqKim8SL4wrQTjUZ16NAh3bhxw3Z/Q0ODNm7cqLa2timuDAAAAAAwHtlsVqlUSqlUSul0uuBtKpXSggULFAgEbM+9cOGCksmkJMnhcMjpdMrpdMrlchW8LfX+eGYJmaapbDZbFGA1NTXZ9pjO5XK6ePFixZ+vVEBlGIYcDoey2eyEPq9pmiV7adsda/17WRwOR8nga7KnUBJ8YdrIZDJ68803debMGdsfRqfTqZUrV2rp0qVyOp1VqBAAAAAAUM7QUMQu2BopsEmlUiWDr0wmk3/fmhY42rBm9uzZ6ujosN13584dmaYpl8uVD4DsRmrZvU71+/22wZfL5ZJhGBWPzCr3fbILvqxAzAoE7d53OBwlv7fZbLbiWqX3v95qIfjCtHD58mUdOXJEg4ODtvs7Ozu1fv36knORAQAAZhLrhVkikchPRyk16sAapWBNC6rlqUEAap9pmspkMvlQZbhsNquzZ89W/PylgizrXlapcsHMjRs3CkYvjUWpeg3DkMvlGjGYs0alDQ+q7O7nlu7u7qKga7z3d6fTqcWLF+dDvuHBn9WPrFQ45na7bbePJ0wbLYIv1LRYLKYjR47oypUrtvsDgYDWr1+vuXPnTnFlAAAAtSOTySgejysejyuRSGhwcLBg5IP0fsNiuxdKmUxGp0+flvR/IwLKjQYY/nEwGCz5ggbA9JZIJEZcEXDox0P7U3V3dyscDhc9pxXkVBpSlQqgstnsuEZQlZs1NJ5Abfi9eChrNNjw5vBD31Yy/bLUqK3xMAyjZF8xi3UN2AVj5YK6yf6DC8EXapJpmnr77bd1/Phx25uMw+HQ0qVLtXLlyqoOmQQAAJhq2WxWiUQiH3TF4/FRjUQo9eJp6NQca8TEWF7k9fT02AZf1spiIwVppcI160UfgNGxVgK0+kyVWg1w+MezZ89WY2Oj7XO+8847Ex5QWY3Pyz2vNRrK4/HI4/HI7Xbn3y8VoLhcLq1cuTIfvlhfv937Q7dZo5RK3W+s79NoWc31rXtYucBn3rx5o37e6cAaiVbua64G/idBzYnFYjp48KCuX79uu7+1tVUbN24seXMGAACoR4ODg7py5YqSyWRFIxpKjWYYaeWwkZQL1KwXlaPtsTNUV1eXmpqabPedP3++KChzuVxFoyVqfVU3oJzhAY7X6y0ZMp89e1aZTKaie0O54Hw8TdLL/dx7PJ78KKDhwZbb7c7//I6VFTqNpefz0OnepfY3NDTkA7OhKxbajdCqdJTWTDUV92iCL9QM0zT17rvv6ujRo7Y3Sa/Xq3Xr1mnevHn8AgMAAOqO1fC51As+l8tVdvl4O06nU36/v2SvHWlyg6/Jet5SfV/tnmP4i9LGxsZJmQaE6cW6PktdZ5WEtZZSP2+maSqZTJYchTR8RNLwn6FSYbAVTlU6xa/cz6rT6az4e1HuvK6urpoJh6zRZaU4nU719PRMYUWYaARfqAmJREKvv/56yV5eixYt0urVq2tuyCQAAECl0ul0wXTFeDyubDar+fPnKxQKFR1vBTel+sU4HA75fD75/f78w+PxjPgHw0AgoGXLlpWdDlWur0+pQG08PXGsr8fOWAK1XC6nZDKpZDKZ3+bxeEoGX5cvX86/CB4emFnNoTH9ZDKZ/EIP1iOZTKqrq8u2B5WkfN+7SsyZM0ctLS1F2612LpUq9zPldDorDpvLnVduqnKpacvW6K1yYVKthF6YGQi+UHWXLl3SoUOHCn4hsQQCAW3evFnt7e1VqAwAAGB8rNUVU6lU/m0ymVQ8Hi85GiIej9sGX4ZhyO/3q7+/X4ZhyOv1FoRcXq+34qlBk9Gc3uPxaMGCBaNqiG23b7JGqJV6MW6apvr6+kqOmnE4HAVTmzweT/57T3P/2pDL5ZRKpQrCrXg8Xra5+FSywqFKr+FyX8fw1QGtANcKp8r11ivXrHzBggUEvpj2CL5QNalUSocPH9aFCxds98+fP1/r1q1jlBcAAJh2Ll26pMHBQaXT6TFPP4rH4yX3tba2avbs2fnpi7XM6XQqGAxWfH6p75vT6dTcuXOLgjNr5bB0Ol12ZEypkGqk/khWqGLXD8ntdqu1tVWzZs0a4avCRMpms7pz546SyWQ+7Kp0ut9Ucblco1qMYiirb1W5AGrOnDn557cCrYkIrAi9UA8IvlAVvb29OnjwoO0vdl6vV5s2bdLcuXOrUBkAAEAhK/CwRmxZ74dCoZJBR6mAZDTK9cWZSb2pSr3gdjqdam5uLnuu1RQ8nU4XvS0XfFUqnU6XDQji8XjFI/KmWjKZVCqVUiaTKbv6pmEYUxKKmKYp0zRLfu96e3snvYaJZDVetwIq622590czzXYm3RuAsSL4wpRKp9M6duyYzp8/b7t/7ty52rhxY9nhtgAAABPJbjri0JCrXE+tUsGXx+MZVQN2q/m89fD5fEybmwAOhyO/QtxoOZ1OtbW12QZmo+H3+223Z7PZ/O++w3uweb3eKR1RY5pmflW6UlM+33nnnVF9zYZhFIVhgUBAHR0dtsdbUw7twjQrRMtkMgWjt6zpip2dnbZN3Z1Opzwez6hCZofDIa/XK5/PV/AoZfny5SM+Z7nPVcrChQsZRQVMMYIvTJkbN27otddeUywWK9rndru1YcMGVmwEAAATypoKV+pF/qVLlxSJRCqaHlXuxfbwwGVoEOPxePIByGiaz2NqeDwetbW1FW23Ro8ND8SsBQmsBv9er9f2eYdOv7POsTgcjoIgzOoXNp5rIpvN2o5QtN7mcjm1tbXZfq3S+7+Xjyb4Mk0zvxKhpVRfNkm6ffu27ty5Y7vPCtFKTVG16wVs8fl8RT+Lbre7KOAa689aucbs48HPOzD1CL4w6bLZrE6ePFlyZZSOjg5t2rSJ4bkAAGDUrJErdqNzhvd6CofD6u7utn0ewzAq7glULvhqbGyU1+vNN0FnRcDpq9zoMdM0lUwmy051LNezLZfLKRaLFfxh2OVyFQRhwWDQdgRRLBbLT0scGnKNZjXNctNpPR5P2ZrLKTfSqVxDdytEKyWRSJTcFwqF5HQ68wGX1+udtNAKwPTEHQGT6s6dO3r11VcVjUaL9jmdTq1du1aLFi3iF0EAAFDW7du3NTAwUBBwjTawKvcifywvkF0uVz4AsQIt0zRtf48ZaRoV6oNhGCP+W1tTC0d7vWYyGfX396u/v1+StGzZMttAqbe3t+KAaqTRik6nU263W6ZpFqy2OdLXUC74Gk0gV0q54IsFBQCMhOALkyKXy+mtt97Sm2++afsf5OzZs7VlyxbbpboBABiJ1ZNpeC+YTCaT75lUaoSPNdVntA2DMXGsUVp2DcczmYy8Xm9+ZbLh4vG47R/SRmO0wdfQkT1WsDX0bblpXEApHR0dam1tzU9zTCQS+RU/R+J2u0v2fBvPyKxyn7utrU3t7e1F260m80NX07RW1LTeL9dTzQqOreNLhWiGYcjr9eZ7oBEiAxgvgi9MuGg0qldffdV2Dr/D4dCqVau0dOnSabGqDQCg+nK5XFHAlUgkSo4eyGazI/aZuXHjhqT/WyJ+rKtsVcJ60Wi94Bv6sF7o2RkcHMz3CLJeKA5vKG33cbVYL+xLTUEsN2Kk3IiQ8Uxdsj6vXcjZ2NiY77VFEIrJ4nQ6FQqFCv7om06nlUgk8oHY4OBg0c9AqYb5UnEfuaGs5vWlgtxyP0+lfgasBvSV3l+6urry7w+9Hw4Nzqxm9bxOADCRCL4wYUzT1JkzZ3TixAnbOfxNTU3aunWrwuFwFaoDAEw3vb296u/vVyqVGnMPpnIv6oY2bR7aJ2o0PB6Pli5darvv2rVrikajRaHW0EcpgUBACxcutN0XiUR069atUdVnsQI9l8ulxYsX2x4Tj8cVi8VKBmfWx5KKemk5HA41NzfbPm+5BtYjKffvUGrUi/UC3+Vy5UfHWO8P3V7ueVlFEdVgXXsNDQ2S/m8k69AgLBgMljzfGhVVaoRiLYdHQ0M0+nEBmGzcZTAhBgYGdPDgwfxf0IcyDEMrVqzQihUrmCIAAJD0f6O4TNMsubiJNZWxEuX+vxlPn5lyL9DGU2+5UKySEUhWoFfO4OCgent7x/zc0vujUEoFX5M1Msvv96u1tdU22GKUFuqBYRj5EVqj+UNxU1OTmpqaJr8wAJjmCL4wLqZp6vz58zp27JjtL9gNDQ3aunUrTScBYAazpvMMna5ohV7BYFALFiywPc/n8ykSiZR97uEreXk8HuVyubLhS7mVxUZSLlAbT/gy0cGXpVy94/k+VDIyayjDMIoCLOttueCr3LQvAAAAOwRfqFg8Htfrr7+uq1ev2u5funSpVq1axfBlAJhBstlsfoqO1ZuqXEhi9a4qtSqexQpKhjc7drvdYw6G5s+fn+8rk8lklM1mS74/dNtIgdpkjTryeDwKBAJyOBz5leGGN5cu1Si63FSn8QZfpf7dPB5P/t/GLtiymsQzSgsAAEyFihKJ5557Tt/61rfU29urtWvX6nvf+562bNlie+wbb7yhJ598UocOHdJ7772n73znO3r88cfHUzNqwIULF3T48GHbpZCDwaA2b96stra2KlQGAJhqg4ODikajisVi+SBrtLLZrNLptG2TZr/fr87OzvxoromcLm/1sRptbyerCXM5zc3NCgaD+d41wx9WcFXqUe55S00rHF7f8Ee55/V4PGpoaCgI0cqttmb14rH6ElmNqIcLhUIl+4oBAABMtTEHXz/96U+1e/du/fCHP9TWrVv17LPP6oEHHtDp06dtg47BwUEtXLhQf/AHf6AvfelLE1I0qieZTOrw4cO6ePGi7f4FCxZo3bp1NIkFgBkkHo/r5s2bFZ3r8XiUyWRsgy+Xy1UzU+WtZvHlVHMq3tDVKUerVKA2fLU10zTzq1kySgsAAEw3hjnGZZK2bt2qzZs36/vf/76k94fJd3d364tf/KK++tWvlj13/vz5evzxx8c84isajSocDisSiaixsXFM52Li9Pb26rXXXlMikSja5/P5tGnTJnV2dlahMgDAZDBNU4lEQoODg4rH45o7d65t8BGPx3Xu3Lmyz+VwOPLTE60RXD6fj0VPAAAAMGZjyYnGNOIrlUrp0KFDeuKJJ/LbHA6H7r//fu3fv7+yam0kk8mCVZGi0eiEPTfGLpfL6c0339Sbb75pu7+7u1sbNmyQ1+ud4soAABNpeH+uwcHBgul9LS0ttiOafD6fHA5H/ljDMOTz+RQMBuX3++Xz+eTxeBgtBAAAgCk3puDr5s2bymazam9vL9je3t6uU6dOTVhRzzzzjJ5++ukJez5ULpFI6NVXX9W1a9eK9nk8Hm3YsEHz5s2rQmUAgPFKp9P5oGs0/bkGBwdtgy/DMNTS0iLDMBQIBOT3+xnJBQAAgJpQk8vtPfHEE9q9e3f+42g0qu7u7ipWNDPdvHlT+/fvVzweL9o3Z84cbdq0iWXFAWAayeVyikQi+dFcQ0dXj8bg4KBaWlps9w3/oxgAAABQC8YUfM2ePVtOp7No9M+1a9fU0dExYUV5vV6mzVWRaZo6e/asjh07VvSXf8MwtGbNGi1dupQpKwAwzRiGod7eXmWz2TGd5/V6FQgEFAqFJqkyAAAAYHKMKfjyeDzauHGjXnzxRT300EOS3v/r8YsvvqgvfOELk1Efplg6ndbBgwd16dKlon1+v1/btm1Ta2trFSoDAIxWLpeTw+Eo2m5NRezv7y95rmEY8vv9CgQC+YfLVZMDxAEAAIARjfk32d27d+uRRx7Rpk2btGXLFj377LOKxWL6zGc+I0n69Kc/rblz5+qZZ56R9H5DfKspeiqV0uXLl3X06FGFQiEtXrx4Ar8UjFdfX5/27dungYGBon1tbW3atm2bfD5fFSoDAIwkmUwqEokoGo0qGAxqzpw5tscND74cDkdByEV/LgAAANSTMQdfDz/8sG7cuKEnn3xSvb29WrdunX7961/ne3tcuHCh4K/MV65c0fr16/Mff/vb39a3v/1t7dy5U3v27Bn/V4AJ8e677+rQoUO2019WrFihu+66y3b0AACgelKplCKRiCKRiBKJRH57NptVR0eH7ZT0YDCocDicD7p8Ph9T1wEAAFC3DLPc8k01IhqNKhwOKxKJqLGxsdrl1JVsNqsjR47o/PnzRfs8Ho+2bt1actQAAGDqpVIpRaNRRSIR28VHLAsWLFAwGJzCygAAAICpMZaciKYdM9jAwID27dunvr6+on2zZs3S9u3bedEEADUgnU7nw67BwcFRndPf3889HAAAADMewdcMdfnyZb322mtKp9NF+xYtWqR169bR4wUAqiibzeanMQ4ODhatsmvH5XIpHA6rsbFRgUBgCqoEAAAAahvB1wyTy+V08uRJnTp1qmif0+nUpk2b1NPTU4XKAADD9fb2KpfLlT3G5XKpsbFRjY2NCgaD9OsCAAAAhiD4mkHi8bgOHDigGzduFO1raGjQ3XffrXA4XIXKAGDmMk3TNqxyOp0KhUKKRqO2+xobG/NN6ll8BAAAALBH8DVDXL9+XQcOHChY9cvS3d2tTZs2ye12V6EyAJhZTNNUMplUPB5XNBqV2+1WZ2en7bHhcDgffDmdTjU0NCgcDisYDBJ2AQAAAKNA8FXnTNPUqVOndPLkyaL+MA6HQ2vXrtXixYuZGgMAk8A0TaXTacXj8YLH0OmLTqdTHR0dtkFWKBRSU1OTGhsbFQqFCLsAAACAMSL4qmOpVEqvvfaarly5UrQvEAho+/btamlpqUJlAFCfMplMUciVyWTKnpPNZjUwMGC7DLPT6VRXV9dklQsAAADUPYKvOnXnzh3t27dPsVisaF9HR4e2bt0qr9dbhcoAoP7E43FdvHhRqVSqovOj0aht8AUAAABgfAi+6oxpmjp//ryOHDliuxLYXXfdpZUrVzK1EQDGIJfLKZlMyuPxyOl0Fu13uVxjDr3cbrcCgYAaGhrU0NAwUaUCAAAAGILgq45kMhkdOnRI7733XtE+r9erbdu2qb29vQqVAcD0YZqmUqlUfqri4OCgEomETNPUvHnzbEdmud1uud1updNp2+d0Op0KBALy+/3y+/3y+XwsKAIAAABMAYKvOtHf3699+/YpEokU7WtpadH27dsVCASqUBmA6co0TWUyGSUSibJBTTKZlGmacjgcBY9alUgklE6nlcvl8o9sNqtcLqdEIqF4PK5sNmt7bjweLzklMRAIKBKJyOFwyOfzFQRdbrebkbYAAABAFRB81YGLFy/q4MGDtg2Uly5dqjVr1tT0i1AA1WdN5UskEkokEkomkwUB0Ny5c9Xc3Gx77rVr1xSNRgu2DQ/BnE6n7fter1fhcNj2ebPZbP4xNKQaGlTZfZzNZtXQ0FByhGtvb68GBgYq+j7F4/GS+1pbW9Xa2iqv10vIBQAAANQIgq9pLJfL6dixYzp79mzRPpfLpc2bN6u7u7sKlQGoVUNHcQ0PukzTLHleIpEouc9udJQVQo2ksbGxZPB19epV9fX1jfgcdnw+X8l94/lDQKmRYCN9TgAAAADVQfA1TSUSCe3bt083b94s2hcOh3X33XfTLBlAgYsXLyoWi9mODh1JueBrNAFXKeVCqPE8b7mAyq45vR23252fqmj15XK5+G8TAAAAmE74DX4aikajevnllxWLxYr29fT0aOPGjbw4A2aYdDqtZDIph8NRsp9fNputKPSypiZOhskKvsqd63Q65Xa7badeDg27aD4PAAAATH+kI9PMjRs39Nvf/lapVKpgu8Ph0Pr167Vw4UJ6ywB1ypqmmE6nlUql8tMUE4lEPtAKh8Mlgy+v1ztibyuPxyOfz1fwGKkx+6JFi2Sa5qh7cA39uNz0QGvUlmEYo+oXNnRbudCqo6NDHR0dZb8PAAAAAOoDwdc08t577+ngwYNFIxkCgYA+8IEPlGw8DWB6sUItK+CyHtZKhOWUm5I4NGSyVh4c+vB6vaOeBjicYRhyOp0Vn2+np6cnH3oR6AMAAACoBMHXNGCapt566y2dPHmyaF9zc7Puuece+f3+KlQGFLJGJCWTSaVSKSWTyfz7VuN0wzC0dOlS2/MjkYh6e3sr/vyLFy+2DV7S6bRu3bqVD2ZcLlfR+1MVrORyOWUyGWWz2ZI/t7du3dKtW7cqev5UKqVsNmv7fQiFQuru7pbP55PH46n5MIkp2wAAAADGi1cVNS6bzerQoUN69913i/Z1dnZq27ZtvDjElMvlcvlRSFa4ZQVc5ZqKSyP3dEqn0xNdrtLptO1CEBZrVJEVgg1/Gw6HR93vafh0RLu3pmnK6/VqyZIlts/h8Xgq+jodDoe8Xm/J4MvtdpdcQREAAAAA6hGJSQ1LpVLat2+frl+/XrRvyZIlWrt27aQ1nAbKuX79etkgqdaM1NDdNE1ls9mSoV0oFLINvpLJpC5evJjvM2WFW6Npym6NgrMbdTVS8GUYhjweT1E/rukwigsAAAAAphLBV42KxWJ6+eWXFY1Gi/atW7eu5FQxYKxM08yvCDh0BJdpmlq4cKHtOZWOSKqWkUahjaTUqMpMJlO2p1Y51vfd7nvpdrvzDyvgst63thNwAQAAAMDICL5q0O3bt/XKK68UvaB2Op3atm2b5s6dW6XKMN1ls1kNDg4qHo8XTE+0G6FkGIZyuZztqEKv11v281hT7rxerzwej7xeb/55ygU2oVBIPT09Y/yqCj+vHbfbraamJmWz2Xx/rXIjvIaymrbbGU+g5nQ6S57v8/m0bNmyip8bAAAAAPA+gq8ac/nyZR04cKDoBbHP59M999yjWbNmVakyTEe5XE7xeFyxWEwDAwOKx+P5JvMjMU1TqVSqYCVAixV8uVyufMA1NOSqdESSNZppooVCIYVCoaLtuVwuH4ANDcSGvp/L5Up+LeWCL2s6YqlRW1PZUB8AAAAAZiqCrxpy5swZHT16tGh7Y2Oj7r33XgWDwakvCtPanTt3dPXq1YrPTyaTtsGX0+nUihUrSo6Emi4cDoccDkfFYVswGFRXV1c+IHO5XExHBAAAAIAaQvBVA3K5nI4dO6azZ88W7Wtra9Pdd9897XoqYWqYpqlkMimv12sbstiNcirF6XQWjdwKBAK2x5ab/jeTWCO5AAAAAAC1ieCryjKZjA4cOKArV64U7Zs/f742btxIwIACqVRKsVgs/0in01q4cKFtSGWNPkqn0/lthmHI7/fL7/cXhFwul4sRSgAAAACAukLwVUXxeFyvvPKK7ty5U7Rv1apVWrFiBUEElMlk8iHXwMCAUqlU0TGxWMw2+DIMQ6FQSIlEQsFgUMFgUIFAgDAVAAAAADAjEHxVSSQS0csvv6zBwcGC7Q6HQ5s3bx7XynaY3qyVF62ga/jqnnZisZhaW1tt93V2dhKgAgAAAABmJIKvKrh27Zr27dtXMP1Men9a2t133622trYqVYZqunnzpqLR6JhWXrSkUimZpmkbcBF6AQAAAABmKoKvKfbOO+/o9ddfLwo2gsGg7r33XjU2NlapMlTb4OBg0QjAUpxOp0KhUH76osfjIeACAAAAAGAYgq8pYpqmTp48qbfeeqtoX0tLiz7wgQ/I5/NVoTJMpnQ6rXg8nn9I7y9aYCcUCikajdruczgc+ZArGAzK5/MRdAEAAAAAMAKCrymQzWZ18OBBXbhwoWhfV1eXtmzZIpeLf4rpLpPJKJFIFARdw6ezGoahXC4nh8NRdH4wGCw4zu/350d1+f1+23MAAAAAAEBppC2TLJlMat++fbpx40bRvmXLlmnNmjWM3JmGcrlcUciVTCZHPM80TSWTSfn9/qJ9Ho9HbW1t8vv9rLwIAAAAAMAEIPiaRAMDA3r55ZfV399fsN0wDK1fv16LFy+uUmUYj/7+fl24cGHMDegt8XjcNvgyDIOFDQAAAAAAmEAEX5Pk1q1beuWVV4pGAblcLm3fvl1z5sypUmUoxzTNfF+uUChkO+rK6/WOKfRyOp3y+/35RyAQmMiSAQAAAABACQRfk+DSpUt69dVXlc1mC7b7/X7dc889am5urlJlsJPNZhWLxTQwMKCBgQGlUilJ7zehD4VCRce73W65XC5lMpmifYZhyOfzKRAI5IMuVlwEAAAAAKA6CL4mkGmaOn36tI4fP160LxwO695772W0Tw0wTVOpVEoDAwPq7+9XLBazHcFljfoazmo8PzAwIK/XWzCay+v10oQeAAAAAIAaQfA1QXK5nI4cOaJz584V7evo6ND27dvldrurUBmk9/99rFFd/f39+VFd5cTj8ZL75syZI6fTSQN6AAAAAABqGMHXBMjlcjpw4IAuXbpUtG/hwoXasGEDo4Cq5Pbt2/lRXblcbtTnuVyusqGWx+OZiPIAAAAAAMAkIvgap2w2qwMHDujy5ctF+9asWaNly5bR36mK+vv7i1bVtGMYhgKBgBoaGhQKheT1evl3AwAAAABgmiP4GodsNqt9+/bp6tWrBdsdDoe2bNmiefPmVamymSOVSimZTKqhocF2f0NDQ8ngy+12KxQK5R9MWwQAAAAAoL4QfFUok8lo37596u3tLdjudDp17733qq2trUqV1bdcLqfBwcF8r65kMimn06nly5fbjtAa2pzeakpvjery+XyM6gIAAAAAoI4RfFUgk8not7/9ra5du1aw3eVy6d5771Vra2uVKqtP1gqM1mN4r65sNqt4PG67YqbH41Fra6t8Pp+CwaBcLi55AAAAAABmClKAMcpkMnrllVd0/fr1gu0ul0s7duzQ7Nmzq1TZ9GaapjKZTH7qYjKZVCqVUiKRUDqdHvH8/v5+2+BLktrb2ye6XAAAAAAAMA0QfI1BOp3Wyy+/rJs3bxZsd7vd2rFjh1paWqpUWX04c+aMTNMc83kul4spiwAAAAAAoAjB1yilUim9/PLLunXrVsF2j8ejHTt2aNasWVWqrDZls9n8qC1rBFcymVRLS4vt98owDHk8HiWTyRGf2zAM+Xy+fK8uv99P8AUAAAAAAIoQfI1CKpXSSy+9pNu3bxds93g82rlzp5qbm6tUWXWZpql0Ol00PTGZTJacnlgu2PJ6vSX3O53OfNAVCoXo1QUAAAAAAEZEejCCZDKpl156SXfu3CnY7vV6tXPnTjU1NVWnsCrq7e1VLBZTMpksajQ/kpGCL4fDIY/HI6/Xm394PB5WYAQAAAAAAGNG8FVGMpnU3r171dfXV7Dd5/Np586dCofD1SmsypLJpOLxeMXnltLa2qq2tjYCLgAAAAAAMCEIvkpIJBLau3evIpFIwXafz6ddu3apsbGxSpVNvlwup2w2K7fbbbvf4/GM6nmsvl1DR255vd6SxzscjorqBQAAAAAAsEPwZSMej2vv3r2KRqMF2/1+v3bt2qWGhoYqVTZ5TNNUPB5XJBJRJBKRz+fT/PnzbY8dHl45nU7b6Ykej4cwCwAAAAAAVA3B1zDxeFx79uxRf39/wfZAIKBdu3YpFApVqbLJkUqlFIlE1NfXVzANMRaLKZ1O2476CgaD6uzszIddLpeL6YkAAAAAAKDmEHwNMTg4qD179mhgYKBgezAY1K5duxQMBqtU2cTKZrOKRqPq6+tTLBazPcY0TUUiEc2ePbtonzWqCwAAAAAAoJYRfP3/YrGY9uzZUxQEhUIh7dq1S4FAoEqVTQzTNDUwMKC+vj719/ePajXGco3oAQAAAAAAah3Bl6SBgQHt2bNHg4ODBdsbGhq0c+fOaRt6maapRCKhvr4+RSIRZTKZEc/xeDxqampSU1PTqJvYAwAAAAAA1KIZH3z19/drz549isfjBdsbGxu1c+dO+f3+KlU2MS5evKhUKlX2GKfTqXA4rKamJvn9fvp1AQAAAACAujCjg69oNKo9e/YokUgUbA+Hw9q5c6d8Pl+VKpsYhmGoqalJ169ft93X0NCgpqYmhUIhVl8EAAAAAAB1Z8YGX5FIRHv37i0KvZqamrRz586Kmrdns1ml0+myx7hcLrlc9t/2ZDIp0zTH9DlTqZQSiYTa2tps94fD4YLgy+/3q6mpSeFwuGQdAAAAAAAA9WBGJh99fX3au3dvUfP25uZm7dixY9ShVy6X0+DgoGKxmAYGBpRIJEYMrjo6OmxXSpSkd999d8TgrJRwOGxbt9frVTgczvfuYjVGAAAAAAAwU8y44OvOnTvau3dvUd+rWbNmaceOHSM2dM9kMrpz545isZgGBwdHtTriVIhEIiVHfXV3d09xNQAAAAAAANU3oxo73b592zb0amlpGVXoZbl+/boGBgZqJvSS3h/FNtZpkgAAAAAAAPVsxgRft27dsg29Zs+eXRB6pVIp3blzR4ODg7bP43K5aqrpvWEY8vv9mjVrFsEXAAAAAADAEDNiquPNmzf10ksvKZPJFGxvbW3Vtm3bFIvF8g8rGGtpaVEgELB9vmAwqHg8Lun94Mnn8ykUCikYDCoQCFS8QuKyZcsqOg8AAAAAAADFKkponnvuOc2fP18+n09bt27Va6+9Vvb4n/3sZ1q+fLl8Pp9Wr16t//qv/6qo2ErcuHHDNvRqampSZ2enzp07p0uXLunOnTsFo8EGBgZKPmdjY6NaWlo0b948LV++XIsWLVJ7e7tCoVDFoRcAAAAAAAAm1phTmp/+9KfavXu3nnrqKR0+fFhr167VAw88oOvXr9sev2/fPn3yk5/U5z73OR05ckQPPfSQHnroIZ08eXLcxY/k+vXr2rt3b1HoFQwG1dHRUXYFxWQyWXJ/IBDQnDlz1NjYKKfTOaE1AwAAAAAAYGIY5hgbQ23dulWbN2/W97//fUlSLpdTd3e3vvjFL+qrX/1q0fEPP/ywYrGYfvnLX+a3bdu2TevWrdMPf/jDUX3OaDSqcDisSCSixsbGUZ1z7do1vfzyy0UN6EOhkLq7u2UYRslzXS6XgsGg2tra5PV6R/X5AAAAAAAAMPnGkhONqcdXKpXSoUOH9MQTT+S3ORwO3X///dq/f7/tOfv379fu3bsLtj3wwAP6xS9+UfLzJJNJJZPJ/MfRaHQsZerq1av67W9/O+rQy+FwKBgMKhgMKhQKyev1lg3GAAAAAAAAUPvGFHzdvHlT2WxW7e3tBdvb29t16tQp23N6e3ttj+/t7S35eZ555hk9/fTTYyktzzRNvfXWW0WhV0NDg7q6umQYhgzDUCAQyAddPp+P3lwAAAAAAAB1pibTnieeeEKRSCT/uHjx4qjPNQxD99xzj5qbm/PbGhsbtWTJErW1tWn+/PlasWKFFixYoLa2tnGtwggAAAAAAIDaNaYRX7Nnz5bT6dS1a9cKtl+7dk0dHR2253R0dIzpeEnyer3j6q3l8Xi0Y8cO7d27V8FgUFu2bJH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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['darkorange', 'darkgray', 'royalblue']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i], \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "plt.xlim([-0.5, 40.5])\n",
    "plt.ylim([-0.01, 0.51])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a06b8496-aa9f-47dd-8cf9-03216653e856",
   "metadata": {},
   "source": [
    "## m=5, M=1 - Try an empirical nertwork"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f09f7247-024d-4252-a53e-188047e7fb2a",
   "metadata": {},
   "source": [
    "### Download data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e4ee3be0-eccf-4282-af23-75104cbfdcb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "Adj_Matrix_Empirics = sprs.load_npz(f'../OSNEM2023/AdjMatrix(1) - MainCity.npz')\n",
    "\n",
    "X1 = pd.read_csv(f'../OSNEM2023/UsersAttributes(1) - MainCity.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65f32155-a634-4107-b02b-1219290f9f2c",
   "metadata": {},
   "source": [
    "### Focus on the giant component"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93572868-2084-4770-86df-b73fe7f20ab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The size of the largest component: 27861\n",
      "\n",
      "The number of such components: 1\n",
      "\n",
      "The second largest component: 3\n"
     ]
    }
   ],
   "source": [
    "graph = nx.from_scipy_sparse_array(Adj_Matrix_Empirics)\n",
    "components = nx.connected_components(graph)\n",
    "\n",
    "components_info = []\n",
    "components_list = []\n",
    "\n",
    "for i in components:\n",
    "    \n",
    "    new_component = i\n",
    "    \n",
    "    components_info.append(len(new_component))\n",
    "    components_list.append(new_component)\n",
    "    \n",
    "components_info = np.array(components_info)\n",
    "\n",
    "LargestComponentSize = components_info.max()\n",
    "\n",
    "print(f'The size of the largest component: {LargestComponentSize}')\n",
    "print('')\n",
    "print(f'The number of such components: {len(components_info[components_info == LargestComponentSize])}')\n",
    "print('')\n",
    "print(f'The second largest component: {components_info[components_info < LargestComponentSize].max()}')\n",
    "\n",
    "\n",
    "gcc1 = components_list[components_info.argmax()]\n",
    "\n",
    "gcc1 = np.array(list(gcc1))\n",
    "\n",
    "Adj_Matrix_Empirics = Adj_Matrix_Empirics[gcc1, :][:, gcc1]\n",
    "\n",
    "X1 = X1[X1.index.isin(gcc1)]\n",
    "\n",
    "X1.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92620bc0-ceb6-48d0-bb5e-f88059841b53",
   "metadata": {},
   "source": [
    "### Initial joint distribution of opinions and types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "93565581-cd93-4459-be35-22a28b223c82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.2410179103406195,\n",
       " 0.33362047306270415,\n",
       " 0.31115178923943865,\n",
       " 0.0736513405836115,\n",
       " 0.040558486773626216]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "N = X1.shape[0]\n",
    "\n",
    "Populations = [sum( (X1['prob_1'] < 0.2) ) / N, \n",
    "               sum( (X1['prob_1'] >= 0.2) & (X1['prob_1'] < 0.4) ) / N, \n",
    "               sum( (X1['prob_1'] >= 0.4) & (X1['prob_1'] < 0.6) ) / N, \n",
    "               sum( (X1['prob_1'] >= 0.6) & (X1['prob_1'] < 0.8) ) / N, \n",
    "               sum( (X1['prob_1'] >= 0.8) ) / N]\n",
    "\n",
    "Populations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f235f8d4-ee89-49ac-a73d-3a561b6fa3bb",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "676a7cf5-35b0-477a-aecb-8fd1ba66e3fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 1  # the number of types of ordinary agents \n",
    "\n",
    "m = 5  # the number of elements in the opinion alphabet\n",
    "n = 1  # the fraction of ordinary agents in the system \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "for i in range(M):\n",
    "    for j in range(M):\n",
    "        Transition_Matrices[f'{i}-{j}'] = P_empirics_5\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "        \n",
    "for i in range(M):\n",
    "    Transition_Matrices[f'{i}-{M}'] = P_empirics_5\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 40\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "#v = np.array([4, 3, 2, 1, 0])**2\n",
    "\n",
    "v = np.array([4, 3, 2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([ [Populations[i]] for i in range(len(Populations)) ])\n",
    "\n",
    "\n",
    "n_types = [1]\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             #A, b, c, s, \n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define the control function\n",
    "\n",
    "u_t = []\n",
    "\n",
    "u_basic = np.array([[0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0], \n",
    "                    [0]])\n",
    "\n",
    "for i in range(40):\n",
    "    \n",
    "    u_t.append(u_basic)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "602fa08f-9577-4610-b20c-dea2b62941d4",
   "metadata": {},
   "source": [
    "### Numerical solution of the mean-field approximation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "b2ddcded-c7f7-4111-a615-8616d1182af3",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b532f6fc-4cb9-40e0-b78f-b1a0b0c5b7e9",
   "metadata": {},
   "source": [
    "### Instantiate the initial state of the empirical system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f2e8c847-78dd-469f-ad83-3393464b6828",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Opinion_Converter(Opinion, Thresholds):\n",
    "    \n",
    "    #step = ( Scale[1]-Scale[0] ) / m\n",
    "    \n",
    "    #Thresholds = np.arange(Scale[0], Scale[1], step)\n",
    "    \n",
    "    for i in range(len(Thresholds)-1):\n",
    "        \n",
    "        th_1 = Thresholds[i]\n",
    "        th_2 = Thresholds[i+1]\n",
    "        \n",
    "        if i < (len(Thresholds)-1):\n",
    "\n",
    "            \n",
    "            if (Opinion >= th_1)  & (Opinion < th_2):\n",
    "                return i\n",
    "            else:\n",
    "                pass\n",
    "            \n",
    "        else:\n",
    "\n",
    "            \n",
    "            if (Opinion >= th_1)  & (Opinion <= th_2):\n",
    "                return i\n",
    "            else:\n",
    "                pass   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd9c499a-a764-4d78-a3b8-b4f00150db57",
   "metadata": {},
   "source": [
    "### Opinions and types ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "05d5ac23-c4a2-4216-8d08-944807d67ef1",
   "metadata": {},
   "outputs": [],
   "source": [
    "Scale = [0, 1]\n",
    "\n",
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Custom'\n",
    "\n",
    "\n",
    "N_ordinary_agents = int(n*N)\n",
    "N_bots = N - N_ordinary_agents\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define opinions nad types of ordinary agents\n",
    "\n",
    "Courteges = [[Opinion_Converter(X1['prob_1'][i], Scale, m), 0, -1] for i in range(N)]\n",
    "\n",
    "# Add this information into the dictionary\n",
    "    \n",
    "Arguments['Courteges'] = Courteges\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Add this matrix into the dictionary\n",
    "\n",
    "#Arguments['Ordinary_Agents_Adj_Matrix'] = Adj_Matrix_Empirics\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Adj_Matrix_Empirics.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f14d91f-6214-4b8f-8452-c0a65c39dc4a",
   "metadata": {},
   "source": [
    "### Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "74becbfb-6423-4d01-a54c-f7ca299c5d23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph is connected: True\n",
      "Density of the graph: 0.0005902184964828862\n",
      "Opinion assortativity:  0.217\n"
     ]
    }
   ],
   "source": [
    "graph = nx.from_numpy_array(Adj_Matrix_Empirics)\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "labels = np.array(pd.DataFrame(Courteges)[0])\n",
    "labels_new = np.around(labels*10, decimals=1)\n",
    "labels_new = labels_new.astype(int)\n",
    "opinion_dict = {i: labels_new[i] for i in range(len(labels_new))}\n",
    "nx.set_node_attributes(graph, opinion_dict, 'opinion')\n",
    "\n",
    "OpAssort = round(nx.numeric_assortativity_coefficient(graph, 'opinion'), 3)\n",
    "\n",
    "print('Opinion assortativity: ', OpAssort)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b961c7ac-01cf-4c6c-9993-7a2727523202",
   "metadata": {},
   "source": [
    "### Run a simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "4271ff81-403b-48b6-9d14-bfbeb33059d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1086580 of 1114440\n"
     ]
    }
   ],
   "source": [
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "555a6000-3ef4-4e14-9651-f90e8ce60d03",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "c0a06cab-6df8-4b9c-953d-10b550edd285",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].sum(axis=1) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].sum(axis=1) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].sum(axis=1) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(15, 5))\n",
    "Colors = ['red', 'darkorange', 'darkgray', 'royalblue', 'darkviolet']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "             #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=f'$y_{i+1}$')\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS) \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 41])\n",
    "plt.ylim([-0.01, 0.45])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "935069e1-5d44-46ac-bad0-be0602ef519a",
   "metadata": {},
   "source": [
    "## m=3, M=2 - two types with (age groups) different persuasiveness"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3925685-0e38-430d-becc-5c2a652a41b0",
   "metadata": {},
   "source": [
    "### Initial joint distribution of opinions and types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "db587441-6fb1-4233-960a-84bf405a523f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.20024406876996517,\n",
       " 0.24033595348336384,\n",
       " 0.23681849179857148,\n",
       " 0.23570582534725962,\n",
       " 0.07085172822224615,\n",
       " 0.016043932378593733]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#np.percentile(X1['age'], 50)\n",
    "\n",
    "N = X1.shape[0]\n",
    "\n",
    "Populations = [sum( (X1['prob_1'] < 0.33) & (X1['age'] <= 35)) / N, sum( (X1['prob_1'] < 0.33) & (X1['age'] > 35)) / N,\n",
    "               sum( (X1['prob_1'] >= 0.33) & (X1['prob_1'] < 0.66) & (X1['age'] <= 35)) / N, sum( (X1['prob_1'] >= 0.33) & (X1['prob_1'] < 0.66) & (X1['age'] > 35)) / N,\n",
    "               sum( (X1['prob_1'] >= 0.66) & (X1['age'] <= 35)) / N, sum( (X1['prob_1'] >= 0.66) & (X1['age'] > 35)) / N]\n",
    "\n",
    "Populations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73912301-ee90-4627-beed-f7b6933cc1f3",
   "metadata": {},
   "source": [
    "### Set parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2c773afe-6de6-4c6a-a914-7ad35fb3fec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "M = 2  # the number of types of ordinary agents \n",
    "\n",
    "m = 3  # the number of elements in the opinion alphabet\n",
    "n = 1  # the fraction of ordinary agents in the system \n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the transition matrix\n",
    "\n",
    "Transition_Matrices = {}\n",
    "\n",
    "# These transition matrices outline how ordinary agents influence each other \n",
    "\n",
    "#for i in range(M):\n",
    "#    for j in range(M):\n",
    "#        Transition_Matrices[f'{i}-{j}'] = P_stubborn_3\n",
    "\n",
    "Transition_Matrices['0-0'] = P_empirics_3\n",
    "Transition_Matrices['0-1'] = P_stubborn_3\n",
    "\n",
    "Transition_Matrices['1-0'] = P_stubborn_3\n",
    "Transition_Matrices['1-1'] = P_empirics_3\n",
    "\n",
    "# These transition matrices outline how stubborn agents influence ordinary agents \n",
    "\n",
    "Transition_Matrices['0-2'] = P_empirics_3\n",
    "Transition_Matrices['1-2'] = P_empirics_3\n",
    "\n",
    "#P_ass_strict_3\n",
    "\n",
    "#for i in range(M):\n",
    "#    Transition_Matrices[f'{i}-{M}'] = P_ass_strict_3\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the grid\n",
    "\n",
    "Tau_0 = 0\n",
    "Tau_1 = 60\n",
    "Step = 1\n",
    "Grid = np.arange(Tau_0, Tau_1+Step, Step)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "K = 1\n",
    "\n",
    "#v = np.array([4, 3, 2, 1, 0])**2\n",
    "\n",
    "v = np.array([4, 3, 2, 1, 0])  # the opinion weights (terminal)\n",
    "w = K*v  # the opinion weights (integral)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Initialize the starting point ( y_{0} )\n",
    "\n",
    "y_0 = np.array([ [Populations[i]] for i in range(len(Populations)) ]).reshape(3, 2)\n",
    "\n",
    "\n",
    "n_types = y_0.sum(axis=0)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Create the argument dictionary\n",
    "\n",
    "Arguments = Define_Arguments(\n",
    "                             #A, b, c, s, \n",
    "                             M, m, \n",
    "                             n, \n",
    "                             Transition_Matrices, \n",
    "                             Step, Grid, Tau_0, Tau_1, \n",
    "                             w, v, \n",
    "                             n_types)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define the control function\n",
    "\n",
    "u_t = []\n",
    "\n",
    "u_basic = np.array([[0, 0], \n",
    "                    [0, 0], \n",
    "                    [0, 0]])\n",
    "\n",
    "for i in range(60):\n",
    "    \n",
    "    u_t.append(u_basic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cd7a78e3-6cc9-4922-a600-d05860e298d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.2  , 0.24 ],\n",
       "       [0.237, 0.236],\n",
       "       [0.071, 0.016]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.round(y_0, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4edd03cc-a31d-4afc-92b7-09b0911039b1",
   "metadata": {},
   "source": [
    "### Numerical solution of the mean-field approximation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5fc2beae-92f5-4c64-a2c6-84dcc071c5c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_t_RK_adjust = RKM_Dyn_System(y_0, u_t, Arguments, 1, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e38201b-cfcd-4925-ae44-3d028a27faf5",
   "metadata": {},
   "source": [
    "### Instantiate the initial state of the empirical system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4dfd3fdf-5f79-44a8-bc30-ec936e129e7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "Arguments['N'] = N\n",
    "Arguments['Init_Type'] = 'Custom'\n",
    "\n",
    "\n",
    "N_ordinary_agents = int(n*N)\n",
    "N_bots = N - N_ordinary_agents\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Define opinions nad types of ordinary agents\n",
    "\n",
    "Thresholds = [0, 0.33, 0.66, 1]\n",
    "\n",
    "Opinion_Converter(X1['prob_1'][i], Thresholds)\n",
    "\n",
    "Courteges = [[Opinion_Converter(X1['prob_1'][i], Thresholds), int(X1['age'][i] > 35), -1] for i in range(N)]\n",
    "\n",
    "# Add this information into the dictionary\n",
    "    \n",
    "Arguments['Courteges'] = Courteges\n",
    "    \n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "# Add this matrix into the dictionary\n",
    "\n",
    "#Arguments['Ordinary_Agents_Adj_Matrix'] = Adj_Matrix_Empirics\n",
    "Arguments['Ordinary_Agents_Adj_Matrix'] = Adj_Matrix_Empirics.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea9c78b3-1be1-4748-9dfe-b152a6b27bdd",
   "metadata": {},
   "source": [
    "### Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "01fd6f12-1c5a-499d-95e6-a4624a47fec3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph is connected: True\n",
      "Density of the graph: 0.0005902184964828862\n",
      "Type assortativity:  0.431\n",
      "Opinion assortativity:  0.188\n"
     ]
    }
   ],
   "source": [
    "graph = nx.from_numpy_array(Adj_Matrix_Empirics)\n",
    "\n",
    "print(f'Graph is connected: {nx.is_connected(graph)}')\n",
    "print(f'Density of the graph: {nx.density(graph)}')\n",
    "Arguments['Density'] = nx.density(graph)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "labels = np.array(pd.DataFrame(Courteges)[1])\n",
    "labels_new = np.around(labels*10, decimals=1)\n",
    "labels_new = labels_new.astype(int)\n",
    "opinion_dict = {i: labels_new[i] for i in range(len(labels_new))}\n",
    "nx.set_node_attributes(graph, opinion_dict, 'type')\n",
    "\n",
    "OpAssort = round(nx.numeric_assortativity_coefficient(graph, 'type'), 3)\n",
    "\n",
    "print('Type assortativity: ', OpAssort)\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "labels = np.array(pd.DataFrame(Courteges)[0])\n",
    "labels_new = np.around(labels*10, decimals=1)\n",
    "labels_new = labels_new.astype(int)\n",
    "opinion_dict = {i: labels_new[i] for i in range(len(labels_new))}\n",
    "nx.set_node_attributes(graph, opinion_dict, 'opinion')\n",
    "\n",
    "OpAssort = round(nx.numeric_assortativity_coefficient(graph, 'opinion'), 3)\n",
    "\n",
    "print('Opinion assortativity: ', OpAssort)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c501a4d2-e889-4567-8bf9-2670323d546c",
   "metadata": {},
   "source": [
    "### Run a simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7dad8583-0c79-40a8-b6a4-52e74437b48d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1643800 of 1671660\n"
     ]
    }
   ],
   "source": [
    "y_t = ABM_Dyn_System(y_0, u_t, Arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e837ca62-76b3-4c91-927a-3c1615095547",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "53dc805d-1c06-4dc7-9339-85dd36f10f9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LW = 3\n",
    "FS = 20\n",
    "\n",
    "#Op_Dynamics_no_adjust = np.vstack([y_t_RK_no_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_no_adjust))]).T\n",
    "Op_Dynamics_adjust = np.vstack([y_t_RK_adjust[i].reshape(m*M, ) for i in range(len(y_t_RK_adjust))]).T\n",
    "Op_Dynamics_SCARDO = np.vstack([y_t[i].reshape(m*M, ) for i in range(len(y_t))]).T\n",
    "\n",
    "plt.figure(figsize=(13, 5))\n",
    "Colors = ['red', 'darkorange', 'k', 'darkgray', 'darkviolet', 'royalblue']\n",
    "#Labels = [f'$y_{i+1,j+1}$' for j in range(M) for i in range(m)]\n",
    "Labels = ['y1,1', 'y1,2', 'y2,1', 'y2,2', 'y3,1', 'y3,2']\n",
    "\n",
    "#---------------------------------------------------------------------------\n",
    "\n",
    "for i in range(m*M):\n",
    "    #plt.plot(Op_Dynamics_no_adjust[i], lw=LW, color=Colors[i],\n",
    "    #         alpha=0.5\n",
    "    #         #label=f'$y_{i+1}$',\n",
    "    #        )\n",
    "    plt.plot(Op_Dynamics_adjust[i], lw=LW, color=Colors[i], label=Labels[i])\n",
    "    plt.plot(Op_Dynamics_SCARDO[i], lw=LW, color=Colors[i],\n",
    "             #color='k', \n",
    "             linestyle='--', \n",
    "             alpha=0.5)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "plt.legend(fontsize=FS, loc='center right') \n",
    "#plt.xlim([0, y_t.shape[1]-1])\n",
    "plt.xlim([-1, 61])\n",
    "plt.ylim([-0.01, 0.31])\n",
    "plt.xlabel(r'$\\tau$', fontsize=FS)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c41d4f5-3f2c-4745-8ecb-ae1ad584f09b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
